Merge branch 'v1.1.2'

author: Johannes Ranke <jranke@uni-bremen.de> 2022-08-10 16:04:48 +0200
committer: Johannes Ranke <jranke@uni-bremen.de> 2022-08-10 16:04:48 +0200
commit: fcef764f3688b01a4c6e92915ed68c5e54bc165f (patch)
tree: 7d5f0b43485d2e99e1e0ea999d0ce47b6914839d
parent: bc8ce24677e953e003f7904564b7767537e01ca2 (diff)
parent: 6178249bbb5e9de7cb7f34287ee7de28a68fed6c (diff)
75 files changed, 5580 insertions, 4158 deletions
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 1f6ba2fa..a68c8d7a 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -1,8 +1,8 @@
 url: https://pkgdown.jrwb.de/mkin
 
 development:
-  mode: release
-  version_label: default
+  mode: devel
+  version_label: info
 
 template:
   bootswatch: spacelab
diff --git a/docs/dev/articles/FOCUS_L.html b/docs/dev/articles/FOCUS_L.html
index 547ec630..610d1bdd 100644
--- a/docs/dev/articles/FOCUS_L.html
+++ b/docs/dev/articles/FOCUS_L.html
@@ -20,6 +20,8 @@
 <![endif]-->
 </head>
 <body data-spy="scroll" data-target="#toc">
+    
+
     <div class="container template-article">
       <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
@@ -32,7 +34,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -42,7 +44,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -58,6 +60,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -80,7 +85,7 @@
       </ul>
 <ul class="nav navbar-nav navbar-right">
 <li>
-  <a href="https://github.com/jranke/mkin/">
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
@@ -95,693 +100,693 @@
 
       
 
-      </header><script src="FOCUS_L_files/header-attrs-2.6/header-attrs.js"></script><script src="FOCUS_L_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
+      </header><script src="FOCUS_L_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Example evaluation of FOCUS Laboratory Data L1 to L3</h1>
-                        <h4 class="author">Johannes Ranke</h4>
+                        <h4 data-toc-skip class="author">Johannes Ranke</h4>
             
-            <h4 class="date">Last change 17 November 2016 (rebuilt 2021-02-15)</h4>
+            <h4 data-toc-skip class="date">Last change 18 May 2022 (rebuilt 2022-08-10)</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/FOCUS_L.rmd"><code>vignettes/FOCUS_L.rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/vignettes/FOCUS_L.rmd" class="external-link"><code>vignettes/FOCUS_L.rmd</code></a></small>
       <div class="hidden name"><code>FOCUS_L.rmd</code></div>
 
     </div>
 
     
     
-<div id="laboratory-data-l1" class="section level1">
-<h1 class="hasAnchor">
-<a href="#laboratory-data-l1" class="anchor"></a>Laboratory Data L1</h1>
+<div class="section level2">
+<h2 id="laboratory-data-l1">Laboratory Data L1<a class="anchor" aria-label="anchor" href="#laboratory-data-l1"></a>
+</h2>
 <p>The following code defines example dataset L1 from the FOCUS kinetics report, p. 284:</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html">library</a></span><span class="op">(</span><span class="st"><a href="https://pkgdown.jrwb.de/mkin/">"mkin"</a></span>, quietly <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="va">FOCUS_2006_L1</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span><span class="op">(</span>
-  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">2</span>, <span class="fl">3</span>, <span class="fl">5</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">21</span>, <span class="fl">30</span><span class="op">)</span>, each <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,
-  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">88.3</span>, <span class="fl">91.4</span>, <span class="fl">85.6</span>, <span class="fl">84.5</span>, <span class="fl">78.9</span>, <span class="fl">77.6</span>,
-             <span class="fl">72.0</span>, <span class="fl">71.9</span>, <span class="fl">50.3</span>, <span class="fl">59.4</span>, <span class="fl">47.0</span>, <span class="fl">45.1</span>,
-             <span class="fl">27.7</span>, <span class="fl">27.3</span>, <span class="fl">10.0</span>, <span class="fl">10.4</span>, <span class="fl">2.9</span>, <span class="fl">4.0</span><span class="op">)</span><span class="op">)</span>
-<span class="va">FOCUS_2006_L1_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L1</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="st"><a href="https://pkgdown.jrwb.de/mkin/">"mkin"</a></span>, quietly <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="va">FOCUS_2006_L1</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">2</span>, <span class="fl">3</span>, <span class="fl">5</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">21</span>, <span class="fl">30</span><span class="op">)</span>, each <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,</span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">88.3</span>, <span class="fl">91.4</span>, <span class="fl">85.6</span>, <span class="fl">84.5</span>, <span class="fl">78.9</span>, <span class="fl">77.6</span>,</span>
+<span>             <span class="fl">72.0</span>, <span class="fl">71.9</span>, <span class="fl">50.3</span>, <span class="fl">59.4</span>, <span class="fl">47.0</span>, <span class="fl">45.1</span>,</span>
+<span>             <span class="fl">27.7</span>, <span class="fl">27.3</span>, <span class="fl">10.0</span>, <span class="fl">10.4</span>, <span class="fl">2.9</span>, <span class="fl">4.0</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">FOCUS_2006_L1_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L1</span><span class="op">)</span></span></code></pre></div>
 <p>Here we use the assumptions of simple first order (SFO), the case of declining rate constant over time (FOMC) and the case of two different phases of the kinetics (DFOP). For a more detailed discussion of the models, please see the FOCUS kinetics report.</p>
 <p>Since mkin version 0.9-32 (July 2014), we can use shorthand notation like <code>"SFO"</code> for parent only degradation models. The following two lines fit the model and produce the summary report of the model fit. This covers the numerical analysis given in the FOCUS report.</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">m.L1.SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_L1_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L1.SFO</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:39 2021 
-## Date of summary: Mon Feb 15 17:13:39 2021 
-## 
-## Equations:
-## d_parent/dt = - k_parent * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 133 model solutions performed in 0.032 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0 89.85  state
-## k_parent  0.10 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##                  value lower upper
-## parent_0     89.850000  -Inf   Inf
-## log_k_parent -2.302585  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## Results:
-## 
-##        AIC     BIC    logLik
-##   93.88778 96.5589 -43.94389
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##              Estimate Std. Error  Lower  Upper
-## parent_0       92.470    1.28200 89.740 95.200
-## log_k_parent   -2.347    0.03763 -2.428 -2.267
-## sigma           2.780    0.46330  1.792  3.767
-## 
-## Parameter correlation:
-##                parent_0 log_k_parent      sigma
-## parent_0      1.000e+00    6.186e-01 -1.516e-09
-## log_k_parent  6.186e-01    1.000e+00 -3.124e-09
-## sigma        -1.516e-09   -3.124e-09  1.000e+00
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##          Estimate t value    Pr(&gt;t)    Lower   Upper
-## parent_0 92.47000   72.13 8.824e-21 89.74000 95.2000
-## k_parent  0.09561   26.57 2.487e-14  0.08824  0.1036
-## sigma     2.78000    6.00 1.216e-05  1.79200  3.7670
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data   3.424       2  7
-## parent     3.424       2  7
-## 
-## Estimated disappearance times:
-##         DT50  DT90
-## parent 7.249 24.08
-## 
-## Data:
-##  time variable observed predicted residual
-##     0   parent     88.3    92.471  -4.1710
-##     0   parent     91.4    92.471  -1.0710
-##     1   parent     85.6    84.039   1.5610
-##     1   parent     84.5    84.039   0.4610
-##     2   parent     78.9    76.376   2.5241
-##     2   parent     77.6    76.376   1.2241
-##     3   parent     72.0    69.412   2.5884
-##     3   parent     71.9    69.412   2.4884
-##     5   parent     50.3    57.330  -7.0301
-##     5   parent     59.4    57.330   2.0699
-##     7   parent     47.0    47.352  -0.3515
-##     7   parent     45.1    47.352  -2.2515
-##    14   parent     27.7    24.247   3.4528
-##    14   parent     27.3    24.247   3.0528
-##    21   parent     10.0    12.416  -2.4163
-##    21   parent     10.4    12.416  -2.0163
-##    30   parent      2.9     5.251  -2.3513
-##    30   parent      4.0     5.251  -1.2513</code></pre>
+<code class="sourceCode R"><span><span class="va">m.L1.SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_L1_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">m.L1.SFO</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:18 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:18 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - k_parent * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 133 model solutions performed in 0.031 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0 89.85  state</span></span>
+<span><span class="co">## k_parent  0.10 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##                  value lower upper</span></span>
+<span><span class="co">## parent_0     89.850000  -Inf   Inf</span></span>
+<span><span class="co">## log_k_parent -2.302585  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC     BIC    logLik</span></span>
+<span><span class="co">##   93.88778 96.5589 -43.94389</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##              Estimate Std. Error  Lower  Upper</span></span>
+<span><span class="co">## parent_0       92.470    1.28200 89.740 95.200</span></span>
+<span><span class="co">## log_k_parent   -2.347    0.03763 -2.428 -2.267</span></span>
+<span><span class="co">## sigma           2.780    0.46330  1.792  3.767</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##                parent_0 log_k_parent      sigma</span></span>
+<span><span class="co">## parent_0      1.000e+00    6.186e-01 -1.516e-09</span></span>
+<span><span class="co">## log_k_parent  6.186e-01    1.000e+00 -3.124e-09</span></span>
+<span><span class="co">## sigma        -1.516e-09   -3.124e-09  1.000e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##          Estimate t value    Pr(&gt;t)    Lower   Upper</span></span>
+<span><span class="co">## parent_0 92.47000   72.13 8.824e-21 89.74000 95.2000</span></span>
+<span><span class="co">## k_parent  0.09561   26.57 2.487e-14  0.08824  0.1036</span></span>
+<span><span class="co">## sigma     2.78000    6.00 1.216e-05  1.79200  3.7670</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data   3.424       2  7</span></span>
+<span><span class="co">## parent     3.424       2  7</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##         DT50  DT90</span></span>
+<span><span class="co">## parent 7.249 24.08</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Data:</span></span>
+<span><span class="co">##  time variable observed predicted residual</span></span>
+<span><span class="co">##     0   parent     88.3    92.471  -4.1710</span></span>
+<span><span class="co">##     0   parent     91.4    92.471  -1.0710</span></span>
+<span><span class="co">##     1   parent     85.6    84.039   1.5610</span></span>
+<span><span class="co">##     1   parent     84.5    84.039   0.4610</span></span>
+<span><span class="co">##     2   parent     78.9    76.376   2.5241</span></span>
+<span><span class="co">##     2   parent     77.6    76.376   1.2241</span></span>
+<span><span class="co">##     3   parent     72.0    69.412   2.5884</span></span>
+<span><span class="co">##     3   parent     71.9    69.412   2.4884</span></span>
+<span><span class="co">##     5   parent     50.3    57.330  -7.0301</span></span>
+<span><span class="co">##     5   parent     59.4    57.330   2.0699</span></span>
+<span><span class="co">##     7   parent     47.0    47.352  -0.3515</span></span>
+<span><span class="co">##     7   parent     45.1    47.352  -2.2515</span></span>
+<span><span class="co">##    14   parent     27.7    24.247   3.4528</span></span>
+<span><span class="co">##    14   parent     27.3    24.247   3.0528</span></span>
+<span><span class="co">##    21   parent     10.0    12.416  -2.4163</span></span>
+<span><span class="co">##    21   parent     10.4    12.416  -2.0163</span></span>
+<span><span class="co">##    30   parent      2.9     5.251  -2.3513</span></span>
+<span><span class="co">##    30   parent      4.0     5.251  -1.2513</span></span></code></pre>
 <p>A plot of the fit is obtained with the plot function for mkinfit objects.</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">m.L1.SFO</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>, main <span class="op">=</span> <span class="st">"FOCUS L1 - SFO"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">m.L1.SFO</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>, main <span class="op">=</span> <span class="st">"FOCUS L1 - SFO"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-4-1.png" width="576"></p>
 <p>The residual plot can be easily obtained by</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="../reference/mkinresplot.html">mkinresplot</a></span><span class="op">(</span><span class="va">m.L1.SFO</span>, ylab <span class="op">=</span> <span class="st">"Observed"</span>, xlab <span class="op">=</span> <span class="st">"Time"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="../reference/mkinresplot.html">mkinresplot</a></span><span class="op">(</span><span class="va">m.L1.SFO</span>, ylab <span class="op">=</span> <span class="st">"Observed"</span>, xlab <span class="op">=</span> <span class="st">"Time"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-5-1.png" width="576"></p>
 <p>For comparison, the FOMC model is fitted as well, and the <span class="math inline">\(\chi^2\)</span> error level is checked.</p>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">m.L1.FOMC</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_L1_mkin</span>, quiet<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
-<pre><code>## Warning in mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation did not converge:
-## false convergence (8)</code></pre>
+<code class="sourceCode R"><span><span class="va">m.L1.FOMC</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_L1_mkin</span>, quiet<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## Warning in mkinfit("FOMC", FOCUS_2006_L1_mkin, quiet = TRUE): Optimisation did not converge:</span></span>
+<span><span class="co">## false convergence (8)</span></span></code></pre>
 <div class="sourceCode" id="cb8"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">m.L1.FOMC</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>, main <span class="op">=</span> <span class="st">"FOCUS L1 - FOMC"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">m.L1.FOMC</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>, main <span class="op">=</span> <span class="st">"FOCUS L1 - FOMC"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-6-1.png" width="576"></p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L1.FOMC</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## Warning in sqrt(diag(covar)): NaNs produced</code></pre>
-<pre><code>## Warning in sqrt(1/diag(V)): NaNs produced</code></pre>
-<pre><code>## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is
-## doubtful</code></pre>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:40 2021 
-## Date of summary: Mon Feb 15 17:13:40 2021 
-## 
-## Equations:
-## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 369 model solutions performed in 0.084 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0 89.85  state
-## alpha     1.00 deparm
-## beta     10.00 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##               value lower upper
-## parent_0  89.850000  -Inf   Inf
-## log_alpha  0.000000  -Inf   Inf
-## log_beta   2.302585  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## 
-## Warning(s): 
-## Optimisation did not converge:
-## false convergence (8)
-## 
-## Results:
-## 
-##        AIC      BIC   logLik
-##   95.88781 99.44929 -43.9439
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##           Estimate Std. Error  Lower  Upper
-## parent_0     92.47     1.2820 89.720 95.220
-## log_alpha    13.78        NaN    NaN    NaN
-## log_beta     16.13        NaN    NaN    NaN
-## sigma         2.78     0.4598  1.794  3.766
-## 
-## Parameter correlation:
-##            parent_0 log_alpha log_beta     sigma
-## parent_0  1.0000000       NaN      NaN 0.0001671
-## log_alpha       NaN         1      NaN       NaN
-## log_beta        NaN       NaN        1       NaN
-## sigma     0.0001671       NaN      NaN 1.0000000
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##           Estimate t value Pr(&gt;t)  Lower  Upper
-## parent_0 9.247e+01      NA     NA 89.720 95.220
-## alpha    9.658e+05      NA     NA     NA     NA
-## beta     1.010e+07      NA     NA     NA     NA
-## sigma    2.780e+00      NA     NA  1.794  3.766
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data   3.619       3  6
-## parent     3.619       3  6
-## 
-## Estimated disappearance times:
-##        DT50  DT90 DT50back
-## parent 7.25 24.08     7.25</code></pre>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">m.L1.FOMC</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## Warning in sqrt(diag(covar)): NaNs produced</span></span></code></pre>
+<pre><code><span><span class="co">## Warning in sqrt(1/diag(V)): NaNs produced</span></span></code></pre>
+<pre><code><span><span class="co">## Warning in cov2cor(ans$covar): diag(.) had 0 or NA entries; non-finite result is</span></span>
+<span><span class="co">## doubtful</span></span></code></pre>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:18 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:18 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 369 model solutions performed in 0.082 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0 89.85  state</span></span>
+<span><span class="co">## alpha     1.00 deparm</span></span>
+<span><span class="co">## beta     10.00 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##               value lower upper</span></span>
+<span><span class="co">## parent_0  89.850000  -Inf   Inf</span></span>
+<span><span class="co">## log_alpha  0.000000  -Inf   Inf</span></span>
+<span><span class="co">## log_beta   2.302585  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Warning(s): </span></span>
+<span><span class="co">## Optimisation did not converge:</span></span>
+<span><span class="co">## false convergence (8)</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC      BIC   logLik</span></span>
+<span><span class="co">##   95.88781 99.44929 -43.9439</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##           Estimate Std. Error  Lower  Upper</span></span>
+<span><span class="co">## parent_0     92.47     1.2820 89.720 95.220</span></span>
+<span><span class="co">## log_alpha    13.78        NaN    NaN    NaN</span></span>
+<span><span class="co">## log_beta     16.13        NaN    NaN    NaN</span></span>
+<span><span class="co">## sigma         2.78     0.4598  1.794  3.766</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##            parent_0 log_alpha log_beta     sigma</span></span>
+<span><span class="co">## parent_0  1.0000000       NaN      NaN 0.0001671</span></span>
+<span><span class="co">## log_alpha       NaN         1      NaN       NaN</span></span>
+<span><span class="co">## log_beta        NaN       NaN        1       NaN</span></span>
+<span><span class="co">## sigma     0.0001671       NaN      NaN 1.0000000</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##           Estimate t value Pr(&gt;t)  Lower  Upper</span></span>
+<span><span class="co">## parent_0 9.247e+01      NA     NA 89.720 95.220</span></span>
+<span><span class="co">## alpha    9.658e+05      NA     NA     NA     NA</span></span>
+<span><span class="co">## beta     1.010e+07      NA     NA     NA     NA</span></span>
+<span><span class="co">## sigma    2.780e+00      NA     NA  1.794  3.766</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data   3.619       3  6</span></span>
+<span><span class="co">## parent     3.619       3  6</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##        DT50  DT90 DT50back</span></span>
+<span><span class="co">## parent 7.25 24.08     7.25</span></span></code></pre>
 <p>We get a warning that the default optimisation algorithm <code>Port</code> did not converge, which is an indication that the model is overparameterised, <em>i.e.</em> contains too many parameters that are ill-defined as a consequence.</p>
 <p>And in fact, due to the higher number of parameters, and the lower number of degrees of freedom of the fit, the <span class="math inline">\(\chi^2\)</span> error level is actually higher for the FOMC model (3.6%) than for the SFO model (3.4%). Additionally, the parameters <code>log_alpha</code> and <code>log_beta</code> internally fitted in the model have excessive confidence intervals, that span more than 25 orders of magnitude (!) when backtransformed to the scale of <code>alpha</code> and <code>beta</code>. Also, the t-test for significant difference from zero does not indicate such a significant difference, with p-values greater than 0.1, and finally, the parameter correlation of <code>log_alpha</code> and <code>log_beta</code> is 1.000, clearly indicating that the model is overparameterised.</p>
 <p>The <span class="math inline">\(\chi^2\)</span> error levels reported in Appendix 3 and Appendix 7 to the FOCUS kinetics report are rounded to integer percentages and partly deviate by one percentage point from the results calculated by mkin. The reason for this is not known. However, mkin gives the same <span class="math inline">\(\chi^2\)</span> error levels as the kinfit package and the calculation routines of the kinfit package have been extensively compared to the results obtained by the KinGUI software, as documented in the kinfit package vignette. KinGUI was the first widely used standard package in this field. Also, the calculation of <span class="math inline">\(\chi^2\)</span> error levels was compared with KinGUII, CAKE and DegKin manager in a project sponsored by the German Umweltbundesamt <span class="citation">(Ranke 2014)</span>.</p>
 </div>
-<div id="laboratory-data-l2" class="section level1">
-<h1 class="hasAnchor">
-<a href="#laboratory-data-l2" class="anchor"></a>Laboratory Data L2</h1>
+<div class="section level2">
+<h2 id="laboratory-data-l2">Laboratory Data L2<a class="anchor" aria-label="anchor" href="#laboratory-data-l2"></a>
+</h2>
 <p>The following code defines example dataset L2 from the FOCUS kinetics report, p. 287:</p>
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">FOCUS_2006_L2</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span><span class="op">(</span>
-  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">28</span><span class="op">)</span>, each <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,
-  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">96.1</span>, <span class="fl">91.8</span>, <span class="fl">41.4</span>, <span class="fl">38.7</span>,
-             <span class="fl">19.3</span>, <span class="fl">22.3</span>, <span class="fl">4.6</span>, <span class="fl">4.6</span>,
-             <span class="fl">2.6</span>, <span class="fl">1.2</span>, <span class="fl">0.3</span>, <span class="fl">0.6</span><span class="op">)</span><span class="op">)</span>
-<span class="va">FOCUS_2006_L2_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L2</span><span class="op">)</span></code></pre></div>
-<div id="sfo-fit-for-l2" class="section level2">
-<h2 class="hasAnchor">
-<a href="#sfo-fit-for-l2" class="anchor"></a>SFO fit for L2</h2>
+<code class="sourceCode R"><span><span class="va">FOCUS_2006_L2</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">28</span><span class="op">)</span>, each <span class="op">=</span> <span class="fl">2</span><span class="op">)</span>,</span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">96.1</span>, <span class="fl">91.8</span>, <span class="fl">41.4</span>, <span class="fl">38.7</span>,</span>
+<span>             <span class="fl">19.3</span>, <span class="fl">22.3</span>, <span class="fl">4.6</span>, <span class="fl">4.6</span>,</span>
+<span>             <span class="fl">2.6</span>, <span class="fl">1.2</span>, <span class="fl">0.3</span>, <span class="fl">0.6</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">FOCUS_2006_L2_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L2</span><span class="op">)</span></span></code></pre></div>
+<div class="section level3">
+<h3 id="sfo-fit-for-l2">SFO fit for L2<a class="anchor" aria-label="anchor" href="#sfo-fit-for-l2"></a>
+</h3>
 <p>Again, the SFO model is fitted and the result is plotted. The residual plot can be obtained simply by adding the argument <code>show_residuals</code> to the plot command.</p>
 <div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">m.L2.SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_L2_mkin</span>, quiet<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">m.L2.SFO</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>,
-     main <span class="op">=</span> <span class="st">"FOCUS L2 - SFO"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">m.L2.SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_L2_mkin</span>, quiet<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">m.L2.SFO</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>     main <span class="op">=</span> <span class="st">"FOCUS L2 - SFO"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-8-1.png" width="672"></p>
 <p>The <span class="math inline">\(\chi^2\)</span> error level of 14% suggests that the model does not fit very well. This is also obvious from the plots of the fit, in which we have included the residual plot.</p>
 <p>In the FOCUS kinetics report, it is stated that there is no apparent systematic error observed from the residual plot up to the measured DT90 (approximately at day 5), and there is an underestimation beyond that point.</p>
 <p>We may add that it is difficult to judge the random nature of the residuals just from the three samplings at days 0, 1 and 3. Also, it is not clear <em>a priori</em> why a consistent underestimation after the approximate DT90 should be irrelevant. However, this can be rationalised by the fact that the FOCUS fate models generally only implement SFO kinetics.</p>
 </div>
-<div id="fomc-fit-for-l2" class="section level2">
-<h2 class="hasAnchor">
-<a href="#fomc-fit-for-l2" class="anchor"></a>FOMC fit for L2</h2>
+<div class="section level3">
+<h3 id="fomc-fit-for-l2">FOMC fit for L2<a class="anchor" aria-label="anchor" href="#fomc-fit-for-l2"></a>
+</h3>
 <p>For comparison, the FOMC model is fitted as well, and the <span class="math inline">\(\chi^2\)</span> error level is checked.</p>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">m.L2.FOMC</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_L2_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">m.L2.FOMC</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>,
-     main <span class="op">=</span> <span class="st">"FOCUS L2 - FOMC"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">m.L2.FOMC</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_L2_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">m.L2.FOMC</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>     main <span class="op">=</span> <span class="st">"FOCUS L2 - FOMC"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-9-1.png" width="672"></p>
 <div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L2.FOMC</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:40 2021 
-## Date of summary: Mon Feb 15 17:13:40 2021 
-## 
-## Equations:
-## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 239 model solutions performed in 0.05 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0 93.95  state
-## alpha     1.00 deparm
-## beta     10.00 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##               value lower upper
-## parent_0  93.950000  -Inf   Inf
-## log_alpha  0.000000  -Inf   Inf
-## log_beta   2.302585  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## Results:
-## 
-##        AIC      BIC    logLik
-##   61.78966 63.72928 -26.89483
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##           Estimate Std. Error    Lower   Upper
-## parent_0   93.7700     1.6130 90.05000 97.4900
-## log_alpha   0.3180     0.1559 -0.04149  0.6776
-## log_beta    0.2102     0.2493 -0.36460  0.7850
-## sigma       2.2760     0.4645  1.20500  3.3470
-## 
-## Parameter correlation:
-##             parent_0  log_alpha   log_beta      sigma
-## parent_0   1.000e+00 -1.151e-01 -2.085e-01 -7.828e-09
-## log_alpha -1.151e-01  1.000e+00  9.741e-01 -1.602e-07
-## log_beta  -2.085e-01  9.741e-01  1.000e+00 -1.372e-07
-## sigma     -7.828e-09 -1.602e-07 -1.372e-07  1.000e+00
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##          Estimate t value    Pr(&gt;t)   Lower  Upper
-## parent_0   93.770  58.120 4.267e-12 90.0500 97.490
-## alpha       1.374   6.414 1.030e-04  0.9594  1.969
-## beta        1.234   4.012 1.942e-03  0.6945  2.192
-## sigma       2.276   4.899 5.977e-04  1.2050  3.347
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data   6.205       3  3
-## parent     6.205       3  3
-## 
-## Estimated disappearance times:
-##          DT50  DT90 DT50back
-## parent 0.8092 5.356    1.612</code></pre>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">m.L2.FOMC</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:19 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:19 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 239 model solutions performed in 0.048 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0 93.95  state</span></span>
+<span><span class="co">## alpha     1.00 deparm</span></span>
+<span><span class="co">## beta     10.00 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##               value lower upper</span></span>
+<span><span class="co">## parent_0  93.950000  -Inf   Inf</span></span>
+<span><span class="co">## log_alpha  0.000000  -Inf   Inf</span></span>
+<span><span class="co">## log_beta   2.302585  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC      BIC    logLik</span></span>
+<span><span class="co">##   61.78966 63.72928 -26.89483</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##           Estimate Std. Error    Lower   Upper</span></span>
+<span><span class="co">## parent_0   93.7700     1.6130 90.05000 97.4900</span></span>
+<span><span class="co">## log_alpha   0.3180     0.1559 -0.04149  0.6776</span></span>
+<span><span class="co">## log_beta    0.2102     0.2493 -0.36460  0.7850</span></span>
+<span><span class="co">## sigma       2.2760     0.4645  1.20500  3.3470</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##             parent_0  log_alpha   log_beta      sigma</span></span>
+<span><span class="co">## parent_0   1.000e+00 -1.151e-01 -2.085e-01 -7.828e-09</span></span>
+<span><span class="co">## log_alpha -1.151e-01  1.000e+00  9.741e-01 -1.602e-07</span></span>
+<span><span class="co">## log_beta  -2.085e-01  9.741e-01  1.000e+00 -1.372e-07</span></span>
+<span><span class="co">## sigma     -7.828e-09 -1.602e-07 -1.372e-07  1.000e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##          Estimate t value    Pr(&gt;t)   Lower  Upper</span></span>
+<span><span class="co">## parent_0   93.770  58.120 4.267e-12 90.0500 97.490</span></span>
+<span><span class="co">## alpha       1.374   6.414 1.030e-04  0.9594  1.969</span></span>
+<span><span class="co">## beta        1.234   4.012 1.942e-03  0.6945  2.192</span></span>
+<span><span class="co">## sigma       2.276   4.899 5.977e-04  1.2050  3.347</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data   6.205       3  3</span></span>
+<span><span class="co">## parent     6.205       3  3</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##          DT50  DT90 DT50back</span></span>
+<span><span class="co">## parent 0.8092 5.356    1.612</span></span></code></pre>
 <p>The error level at which the <span class="math inline">\(\chi^2\)</span> test passes is much lower in this case. Therefore, the FOMC model provides a better description of the data, as less experimental error has to be assumed in order to explain the data.</p>
 </div>
-<div id="dfop-fit-for-l2" class="section level2">
-<h2 class="hasAnchor">
-<a href="#dfop-fit-for-l2" class="anchor"></a>DFOP fit for L2</h2>
+<div class="section level3">
+<h3 id="dfop-fit-for-l2">DFOP fit for L2<a class="anchor" aria-label="anchor" href="#dfop-fit-for-l2"></a>
+</h3>
 <p>Fitting the four parameter DFOP model further reduces the <span class="math inline">\(\chi^2\)</span> error level.</p>
 <div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">m.L2.DFOP</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="va">FOCUS_2006_L2_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">m.L2.DFOP</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>,
-     main <span class="op">=</span> <span class="st">"FOCUS L2 - DFOP"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">m.L2.DFOP</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="va">FOCUS_2006_L2_mkin</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">m.L2.DFOP</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>     main <span class="op">=</span> <span class="st">"FOCUS L2 - DFOP"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-10-1.png" width="672"></p>
 <div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">m.L2.DFOP</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:41 2021 
-## Date of summary: Mon Feb 15 17:13:41 2021 
-## 
-## Equations:
-## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-##            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-##            * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 581 model solutions performed in 0.134 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0 93.95  state
-## k1        0.10 deparm
-## k2        0.01 deparm
-## g         0.50 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##              value lower upper
-## parent_0 93.950000  -Inf   Inf
-## log_k1   -2.302585  -Inf   Inf
-## log_k2   -4.605170  -Inf   Inf
-## g_qlogis  0.000000  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## Results:
-## 
-##        AIC      BIC    logLik
-##   52.36695 54.79148 -21.18347
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##          Estimate Std. Error      Lower     Upper
-## parent_0   93.950  9.998e-01    91.5900   96.3100
-## log_k1      3.112  1.842e+03 -4353.0000 4359.0000
-## log_k2     -1.088  6.285e-02    -1.2370   -0.9394
-## g_qlogis   -0.399  9.946e-02    -0.6342   -0.1638
-## sigma       1.414  2.886e-01     0.7314    2.0960
-## 
-## Parameter correlation:
-##            parent_0     log_k1     log_k2   g_qlogis      sigma
-## parent_0  1.000e+00  6.783e-07 -3.390e-10  2.665e-01 -2.967e-10
-## log_k1    6.783e-07  1.000e+00  1.116e-04 -2.196e-04 -1.031e-05
-## log_k2   -3.390e-10  1.116e-04  1.000e+00 -7.903e-01  2.917e-09
-## g_qlogis  2.665e-01 -2.196e-04 -7.903e-01  1.000e+00 -4.408e-09
-## sigma    -2.967e-10 -1.031e-05  2.917e-09 -4.408e-09  1.000e+00
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##          Estimate   t value    Pr(&gt;t)   Lower   Upper
-## parent_0  93.9500 9.397e+01 2.036e-12 91.5900 96.3100
-## k1        22.4800 5.553e-04 4.998e-01  0.0000     Inf
-## k2         0.3369 1.591e+01 4.697e-07  0.2904  0.3909
-## g          0.4016 1.680e+01 3.238e-07  0.3466  0.4591
-## sigma      1.4140 4.899e+00 8.776e-04  0.7314  2.0960
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data    2.53       4  2
-## parent      2.53       4  2
-## 
-## Estimated disappearance times:
-##          DT50  DT90 DT50back DT50_k1 DT50_k2
-## parent 0.5335 5.311    1.599 0.03084   2.058</code></pre>
-<p>Here, the DFOP model is clearly the best-fit model for dataset L2 based on the chi^2 error level criterion. However, the failure to calculate the covariance matrix indicates that the parameter estimates correlate excessively. Therefore, the FOMC model may be preferred for this dataset.</p>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">m.L2.DFOP</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:19 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:19 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span></span>
+<span><span class="co">##            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span></span>
+<span><span class="co">##            * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 581 model solutions performed in 0.132 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0 93.95  state</span></span>
+<span><span class="co">## k1        0.10 deparm</span></span>
+<span><span class="co">## k2        0.01 deparm</span></span>
+<span><span class="co">## g         0.50 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##              value lower upper</span></span>
+<span><span class="co">## parent_0 93.950000  -Inf   Inf</span></span>
+<span><span class="co">## log_k1   -2.302585  -Inf   Inf</span></span>
+<span><span class="co">## log_k2   -4.605170  -Inf   Inf</span></span>
+<span><span class="co">## g_qlogis  0.000000  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC      BIC    logLik</span></span>
+<span><span class="co">##   52.36695 54.79148 -21.18347</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##          Estimate Std. Error      Lower     Upper</span></span>
+<span><span class="co">## parent_0   93.950  9.998e-01    91.5900   96.3100</span></span>
+<span><span class="co">## log_k1      3.112  1.842e+03 -4353.0000 4359.0000</span></span>
+<span><span class="co">## log_k2     -1.088  6.285e-02    -1.2370   -0.9394</span></span>
+<span><span class="co">## g_qlogis   -0.399  9.946e-02    -0.6342   -0.1638</span></span>
+<span><span class="co">## sigma       1.414  2.886e-01     0.7314    2.0960</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##            parent_0     log_k1     log_k2   g_qlogis      sigma</span></span>
+<span><span class="co">## parent_0  1.000e+00  6.783e-07 -3.390e-10  2.665e-01 -2.967e-10</span></span>
+<span><span class="co">## log_k1    6.783e-07  1.000e+00  1.116e-04 -2.196e-04 -1.031e-05</span></span>
+<span><span class="co">## log_k2   -3.390e-10  1.116e-04  1.000e+00 -7.903e-01  2.917e-09</span></span>
+<span><span class="co">## g_qlogis  2.665e-01 -2.196e-04 -7.903e-01  1.000e+00 -4.408e-09</span></span>
+<span><span class="co">## sigma    -2.967e-10 -1.031e-05  2.917e-09 -4.408e-09  1.000e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##          Estimate   t value    Pr(&gt;t)   Lower   Upper</span></span>
+<span><span class="co">## parent_0  93.9500 9.397e+01 2.036e-12 91.5900 96.3100</span></span>
+<span><span class="co">## k1        22.4800 5.553e-04 4.998e-01  0.0000     Inf</span></span>
+<span><span class="co">## k2         0.3369 1.591e+01 4.697e-07  0.2904  0.3909</span></span>
+<span><span class="co">## g          0.4016 1.680e+01 3.238e-07  0.3466  0.4591</span></span>
+<span><span class="co">## sigma      1.4140 4.899e+00 8.776e-04  0.7314  2.0960</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data    2.53       4  2</span></span>
+<span><span class="co">## parent      2.53       4  2</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##          DT50  DT90 DT50back DT50_k1 DT50_k2</span></span>
+<span><span class="co">## parent 0.5335 5.311    1.599 0.03084   2.058</span></span></code></pre>
+<p>Here, the DFOP model is clearly the best-fit model for dataset L2 based on the chi^2 error level criterion.</p>
 </div>
 </div>
-<div id="laboratory-data-l3" class="section level1">
-<h1 class="hasAnchor">
-<a href="#laboratory-data-l3" class="anchor"></a>Laboratory Data L3</h1>
+<div class="section level2">
+<h2 id="laboratory-data-l3">Laboratory Data L3<a class="anchor" aria-label="anchor" href="#laboratory-data-l3"></a>
+</h2>
 <p>The following code defines example dataset L3 from the FOCUS kinetics report, p. 290.</p>
 <div class="sourceCode" id="cb22"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">FOCUS_2006_L3</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span><span class="op">(</span>
-  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">30</span>, <span class="fl">60</span>, <span class="fl">91</span>, <span class="fl">120</span><span class="op">)</span>,
-  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">97.8</span>, <span class="fl">60</span>, <span class="fl">51</span>, <span class="fl">43</span>, <span class="fl">35</span>, <span class="fl">22</span>, <span class="fl">15</span>, <span class="fl">12</span><span class="op">)</span><span class="op">)</span>
-<span class="va">FOCUS_2006_L3_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L3</span><span class="op">)</span></code></pre></div>
-<div id="fit-multiple-models" class="section level2">
-<h2 class="hasAnchor">
-<a href="#fit-multiple-models" class="anchor"></a>Fit multiple models</h2>
+<code class="sourceCode R"><span><span class="va">FOCUS_2006_L3</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">30</span>, <span class="fl">60</span>, <span class="fl">91</span>, <span class="fl">120</span><span class="op">)</span>,</span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">97.8</span>, <span class="fl">60</span>, <span class="fl">51</span>, <span class="fl">43</span>, <span class="fl">35</span>, <span class="fl">22</span>, <span class="fl">15</span>, <span class="fl">12</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">FOCUS_2006_L3_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L3</span><span class="op">)</span></span></code></pre></div>
+<div class="section level3">
+<h3 id="fit-multiple-models">Fit multiple models<a class="anchor" aria-label="anchor" href="#fit-multiple-models"></a>
+</h3>
 <p>As of mkin version 0.9-39 (June 2015), we can fit several models to one or more datasets in one call to the function <code>mmkin</code>. The datasets have to be passed in a list, in this case a named list holding only the L3 dataset prepared above.</p>
 <div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="co"># Only use one core here, not to offend the CRAN checks</span>
-<span class="va">mm.L3</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, cores <span class="op">=</span> <span class="fl">1</span>,
-               <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="st">"FOCUS L3"</span> <span class="op">=</span> <span class="va">FOCUS_2006_L3_mkin</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="co"># Only use one core here, not to offend the CRAN checks</span></span>
+<span><span class="va">mm.L3</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, cores <span class="op">=</span> <span class="fl">1</span>,</span>
+<span>               <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS L3"</span> <span class="op">=</span> <span class="va">FOCUS_2006_L3_mkin</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-12-1.png" width="700"></p>
 <p>The <span class="math inline">\(\chi^2\)</span> error level of 21% as well as the plot suggest that the SFO model does not fit very well. The FOMC model performs better, with an error level at which the <span class="math inline">\(\chi^2\)</span> test passes of 7%. Fitting the four parameter DFOP model further reduces the <span class="math inline">\(\chi^2\)</span> error level considerably.</p>
 </div>
-<div id="accessing-mmkin-objects" class="section level2">
-<h2 class="hasAnchor">
-<a href="#accessing-mmkin-objects" class="anchor"></a>Accessing mmkin objects</h2>
+<div class="section level3">
+<h3 id="accessing-mmkin-objects">Accessing mmkin objects<a class="anchor" aria-label="anchor" href="#accessing-mmkin-objects"></a>
+</h3>
 <p>The objects returned by mmkin are arranged like a matrix, with models as a row index and datasets as a column index.</p>
 <p>We can extract the summary and plot for <em>e.g.</em> the DFOP fit, using square brackets for indexing which will result in the use of the summary and plot functions working on mkinfit objects.</p>
 <div class="sourceCode" id="cb24"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">[[</span><span class="st">"DFOP"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:41 2021 
-## Date of summary: Mon Feb 15 17:13:42 2021 
-## 
-## Equations:
-## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-##            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-##            * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 376 model solutions performed in 0.082 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0 97.80  state
-## k1        0.10 deparm
-## k2        0.01 deparm
-## g         0.50 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##              value lower upper
-## parent_0 97.800000  -Inf   Inf
-## log_k1   -2.302585  -Inf   Inf
-## log_k2   -4.605170  -Inf   Inf
-## g_qlogis  0.000000  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## Results:
-## 
-##        AIC      BIC    logLik
-##   32.97732 33.37453 -11.48866
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##          Estimate Std. Error   Lower      Upper
-## parent_0  97.7500    1.01900 94.5000 101.000000
-## log_k1    -0.6612    0.10050 -0.9812  -0.341300
-## log_k2    -4.2860    0.04322 -4.4230  -4.148000
-## g_qlogis  -0.1739    0.05270 -0.3416  -0.006142
-## sigma      1.0170    0.25430  0.2079   1.827000
-## 
-## Parameter correlation:
-##            parent_0     log_k1     log_k2   g_qlogis      sigma
-## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -9.664e-08
-## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  7.147e-07
-## log_k2    2.282e-02  4.945e-01  1.000e+00 -6.812e-01  1.022e-06
-## g_qlogis  4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -7.926e-07
-## sigma    -9.664e-08  7.147e-07  1.022e-06 -7.926e-07  1.000e+00
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##          Estimate t value    Pr(&gt;t)    Lower     Upper
-## parent_0 97.75000  95.960 1.248e-06 94.50000 101.00000
-## k1        0.51620   9.947 1.081e-03  0.37490   0.71090
-## k2        0.01376  23.140 8.840e-05  0.01199   0.01579
-## g         0.45660  34.920 2.581e-05  0.41540   0.49850
-## sigma     1.01700   4.000 1.400e-02  0.20790   1.82700
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data   2.225       4  4
-## parent     2.225       4  4
-## 
-## Estimated disappearance times:
-##         DT50 DT90 DT50back DT50_k1 DT50_k2
-## parent 7.464  123    37.03   1.343   50.37
-## 
-## Data:
-##  time variable observed predicted residual
-##     0   parent     97.8     97.75  0.05396
-##     3   parent     60.0     60.45 -0.44933
-##     7   parent     51.0     49.44  1.56338
-##    14   parent     43.0     43.84 -0.83632
-##    30   parent     35.0     35.15 -0.14707
-##    60   parent     22.0     23.26 -1.25919
-##    91   parent     15.0     15.18 -0.18181
-##   120   parent     12.0     10.19  1.81395</code></pre>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">[[</span><span class="st">"DFOP"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:20 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:20 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span></span>
+<span><span class="co">##            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span></span>
+<span><span class="co">##            * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 376 model solutions performed in 0.079 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0 97.80  state</span></span>
+<span><span class="co">## k1        0.10 deparm</span></span>
+<span><span class="co">## k2        0.01 deparm</span></span>
+<span><span class="co">## g         0.50 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##              value lower upper</span></span>
+<span><span class="co">## parent_0 97.800000  -Inf   Inf</span></span>
+<span><span class="co">## log_k1   -2.302585  -Inf   Inf</span></span>
+<span><span class="co">## log_k2   -4.605170  -Inf   Inf</span></span>
+<span><span class="co">## g_qlogis  0.000000  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC      BIC    logLik</span></span>
+<span><span class="co">##   32.97732 33.37453 -11.48866</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##          Estimate Std. Error   Lower      Upper</span></span>
+<span><span class="co">## parent_0  97.7500    1.01900 94.5000 101.000000</span></span>
+<span><span class="co">## log_k1    -0.6612    0.10050 -0.9812  -0.341300</span></span>
+<span><span class="co">## log_k2    -4.2860    0.04322 -4.4230  -4.148000</span></span>
+<span><span class="co">## g_qlogis  -0.1739    0.05270 -0.3416  -0.006142</span></span>
+<span><span class="co">## sigma      1.0170    0.25430  0.2079   1.827000</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##            parent_0     log_k1     log_k2   g_qlogis      sigma</span></span>
+<span><span class="co">## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -9.664e-08</span></span>
+<span><span class="co">## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  7.147e-07</span></span>
+<span><span class="co">## log_k2    2.282e-02  4.945e-01  1.000e+00 -6.812e-01  1.022e-06</span></span>
+<span><span class="co">## g_qlogis  4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -7.926e-07</span></span>
+<span><span class="co">## sigma    -9.664e-08  7.147e-07  1.022e-06 -7.926e-07  1.000e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##          Estimate t value    Pr(&gt;t)    Lower     Upper</span></span>
+<span><span class="co">## parent_0 97.75000  95.960 1.248e-06 94.50000 101.00000</span></span>
+<span><span class="co">## k1        0.51620   9.947 1.081e-03  0.37490   0.71090</span></span>
+<span><span class="co">## k2        0.01376  23.140 8.840e-05  0.01199   0.01579</span></span>
+<span><span class="co">## g         0.45660  34.920 2.581e-05  0.41540   0.49850</span></span>
+<span><span class="co">## sigma     1.01700   4.000 1.400e-02  0.20790   1.82700</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data   2.225       4  4</span></span>
+<span><span class="co">## parent     2.225       4  4</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##         DT50 DT90 DT50back DT50_k1 DT50_k2</span></span>
+<span><span class="co">## parent 7.464  123    37.03   1.343   50.37</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Data:</span></span>
+<span><span class="co">##  time variable observed predicted residual</span></span>
+<span><span class="co">##     0   parent     97.8     97.75  0.05396</span></span>
+<span><span class="co">##     3   parent     60.0     60.45 -0.44933</span></span>
+<span><span class="co">##     7   parent     51.0     49.44  1.56338</span></span>
+<span><span class="co">##    14   parent     43.0     43.84 -0.83632</span></span>
+<span><span class="co">##    30   parent     35.0     35.15 -0.14707</span></span>
+<span><span class="co">##    60   parent     22.0     23.26 -1.25919</span></span>
+<span><span class="co">##    91   parent     15.0     15.18 -0.18181</span></span>
+<span><span class="co">##   120   parent     12.0     10.19  1.81395</span></span></code></pre>
 <div class="sourceCode" id="cb26"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">[[</span><span class="st">"DFOP"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">mm.L3</span><span class="op">[[</span><span class="st">"DFOP"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, show_errmin <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-13-1.png" width="700"></p>
 <p>Here, a look to the model plot, the confidence intervals of the parameters and the correlation matrix suggest that the parameter estimates are reliable, and the DFOP model can be used as the best-fit model based on the <span class="math inline">\(\chi^2\)</span> error level criterion for laboratory data L3.</p>
 <p>This is also an example where the standard t-test for the parameter <code>g_ilr</code> is misleading, as it tests for a significant difference from zero. In this case, zero appears to be the correct value for this parameter, and the confidence interval for the backtransformed parameter <code>g</code> is quite narrow.</p>
 </div>
 </div>
-<div id="laboratory-data-l4" class="section level1">
-<h1 class="hasAnchor">
-<a href="#laboratory-data-l4" class="anchor"></a>Laboratory Data L4</h1>
+<div class="section level2">
+<h2 id="laboratory-data-l4">Laboratory Data L4<a class="anchor" aria-label="anchor" href="#laboratory-data-l4"></a>
+</h2>
 <p>The following code defines example dataset L4 from the FOCUS kinetics report, p. 293:</p>
 <div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">FOCUS_2006_L4</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html">data.frame</a></span><span class="op">(</span>
-  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">30</span>, <span class="fl">60</span>, <span class="fl">91</span>, <span class="fl">120</span><span class="op">)</span>,
-  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="fl">96.6</span>, <span class="fl">96.3</span>, <span class="fl">94.3</span>, <span class="fl">88.8</span>, <span class="fl">74.9</span>, <span class="fl">59.9</span>, <span class="fl">53.5</span>, <span class="fl">49.0</span><span class="op">)</span><span class="op">)</span>
-<span class="va">FOCUS_2006_L4_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L4</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">FOCUS_2006_L4</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>  t <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">30</span>, <span class="fl">60</span>, <span class="fl">91</span>, <span class="fl">120</span><span class="op">)</span>,</span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">96.6</span>, <span class="fl">96.3</span>, <span class="fl">94.3</span>, <span class="fl">88.8</span>, <span class="fl">74.9</span>, <span class="fl">59.9</span>, <span class="fl">53.5</span>, <span class="fl">49.0</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">FOCUS_2006_L4_mkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mkin_wide_to_long.html">mkin_wide_to_long</a></span><span class="op">(</span><span class="va">FOCUS_2006_L4</span><span class="op">)</span></span></code></pre></div>
 <p>Fits of the SFO and FOMC models, plots and summaries are produced below:</p>
 <div class="sourceCode" id="cb28"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="co"># Only use one core here, not to offend the CRAN checks</span>
-<span class="va">mm.L4</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span><span class="op">)</span>, cores <span class="op">=</span> <span class="fl">1</span>,
-               <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="st">"FOCUS L4"</span> <span class="op">=</span> <span class="va">FOCUS_2006_L4_mkin</span><span class="op">)</span>,
-               quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html">plot</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="co"># Only use one core here, not to offend the CRAN checks</span></span>
+<span><span class="va">mm.L4</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span><span class="op">)</span>, cores <span class="op">=</span> <span class="fl">1</span>,</span>
+<span>               <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS L4"</span> <span class="op">=</span> <span class="va">FOCUS_2006_L4_mkin</span><span class="op">)</span>,</span>
+<span>               quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">)</span></span></code></pre></div>
 <p><img src="FOCUS_L_files/figure-html/unnamed-chunk-15-1.png" width="700"></p>
 <p>The <span class="math inline">\(\chi^2\)</span> error level of 3.3% as well as the plot suggest that the SFO model fits very well. The error level at which the <span class="math inline">\(\chi^2\)</span> test passes is slightly lower for the FOMC model. However, the difference appears negligible.</p>
 <div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">[[</span><span class="st">"SFO"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:42 2021 
-## Date of summary: Mon Feb 15 17:13:42 2021 
-## 
-## Equations:
-## d_parent/dt = - k_parent * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 142 model solutions performed in 0.03 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0  96.6  state
-## k_parent   0.1 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##                  value lower upper
-## parent_0     96.600000  -Inf   Inf
-## log_k_parent -2.302585  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## Results:
-## 
-##        AIC      BIC    logLik
-##   47.12133 47.35966 -20.56067
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##              Estimate Std. Error  Lower   Upper
-## parent_0       96.440    1.69900 92.070 100.800
-## log_k_parent   -5.030    0.07059 -5.211  -4.848
-## sigma           3.162    0.79050  1.130   5.194
-## 
-## Parameter correlation:
-##               parent_0 log_k_parent     sigma
-## parent_0     1.000e+00    5.938e-01 3.387e-07
-## log_k_parent 5.938e-01    1.000e+00 5.830e-07
-## sigma        3.387e-07    5.830e-07 1.000e+00
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##           Estimate t value    Pr(&gt;t)     Lower     Upper
-## parent_0 96.440000   56.77 1.604e-08 92.070000 1.008e+02
-## k_parent  0.006541   14.17 1.578e-05  0.005455 7.842e-03
-## sigma     3.162000    4.00 5.162e-03  1.130000 5.194e+00
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data   3.287       2  6
-## parent     3.287       2  6
-## 
-## Estimated disappearance times:
-##        DT50 DT90
-## parent  106  352</code></pre>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">[[</span><span class="st">"SFO"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:21 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:21 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - k_parent * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 142 model solutions performed in 0.03 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0  96.6  state</span></span>
+<span><span class="co">## k_parent   0.1 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##                  value lower upper</span></span>
+<span><span class="co">## parent_0     96.600000  -Inf   Inf</span></span>
+<span><span class="co">## log_k_parent -2.302585  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC      BIC    logLik</span></span>
+<span><span class="co">##   47.12133 47.35966 -20.56067</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##              Estimate Std. Error  Lower   Upper</span></span>
+<span><span class="co">## parent_0       96.440    1.69900 92.070 100.800</span></span>
+<span><span class="co">## log_k_parent   -5.030    0.07059 -5.211  -4.848</span></span>
+<span><span class="co">## sigma           3.162    0.79050  1.130   5.194</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##               parent_0 log_k_parent     sigma</span></span>
+<span><span class="co">## parent_0     1.000e+00    5.938e-01 3.387e-07</span></span>
+<span><span class="co">## log_k_parent 5.938e-01    1.000e+00 5.830e-07</span></span>
+<span><span class="co">## sigma        3.387e-07    5.830e-07 1.000e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##           Estimate t value    Pr(&gt;t)     Lower     Upper</span></span>
+<span><span class="co">## parent_0 96.440000   56.77 1.604e-08 92.070000 1.008e+02</span></span>
+<span><span class="co">## k_parent  0.006541   14.17 1.578e-05  0.005455 7.842e-03</span></span>
+<span><span class="co">## sigma     3.162000    4.00 5.162e-03  1.130000 5.194e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data   3.287       2  6</span></span>
+<span><span class="co">## parent     3.287       2  6</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##        DT50 DT90</span></span>
+<span><span class="co">## parent  106  352</span></span></code></pre>
 <div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html">summary</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">[[</span><span class="st">"FOMC"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
-<pre><code>## mkin version used for fitting:    1.0.3.9000 
-## R version used for fitting:       4.0.3 
-## Date of fit:     Mon Feb 15 17:13:42 2021 
-## Date of summary: Mon Feb 15 17:13:42 2021 
-## 
-## Equations:
-## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
-## 
-## Model predictions using solution type analytical 
-## 
-## Fitted using 224 model solutions performed in 0.046 s
-## 
-## Error model: Constant variance 
-## 
-## Error model algorithm: OLS 
-## 
-## Starting values for parameters to be optimised:
-##          value   type
-## parent_0  96.6  state
-## alpha      1.0 deparm
-## beta      10.0 deparm
-## 
-## Starting values for the transformed parameters actually optimised:
-##               value lower upper
-## parent_0  96.600000  -Inf   Inf
-## log_alpha  0.000000  -Inf   Inf
-## log_beta   2.302585  -Inf   Inf
-## 
-## Fixed parameter values:
-## None
-## 
-## Results:
-## 
-##        AIC      BIC    logLik
-##   40.37255 40.69032 -16.18628
-## 
-## Optimised, transformed parameters with symmetric confidence intervals:
-##           Estimate Std. Error   Lower    Upper
-## parent_0   99.1400     1.2670 95.6300 102.7000
-## log_alpha  -0.3506     0.2616 -1.0770   0.3756
-## log_beta    4.1740     0.3938  3.0810   5.2670
-## sigma       1.8300     0.4575  0.5598   3.1000
-## 
-## Parameter correlation:
-##             parent_0  log_alpha   log_beta      sigma
-## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.468e-07
-## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.478e-08
-## log_beta  -5.543e-01  9.889e-01  1.000e+00  5.211e-08
-## sigma     -2.468e-07  2.478e-08  5.211e-08  1.000e+00
-## 
-## Backtransformed parameters:
-## Confidence intervals for internally transformed parameters are asymmetric.
-## t-test (unrealistically) based on the assumption of normal distribution
-## for estimators of untransformed parameters.
-##          Estimate t value    Pr(&gt;t)   Lower   Upper
-## parent_0  99.1400  78.250 7.993e-08 95.6300 102.700
-## alpha      0.7042   3.823 9.365e-03  0.3407   1.456
-## beta      64.9800   2.540 3.201e-02 21.7800 193.900
-## sigma      1.8300   4.000 8.065e-03  0.5598   3.100
-## 
-## FOCUS Chi2 error levels in percent:
-##          err.min n.optim df
-## All data   2.029       3  5
-## parent     2.029       3  5
-## 
-## Estimated disappearance times:
-##         DT50 DT90 DT50back
-## parent 108.9 1644    494.9</code></pre>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">mm.L4</span><span class="op">[[</span><span class="st">"FOMC"</span>, <span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.1.2 </span></span>
+<span><span class="co">## R version used for fitting:       4.2.1 </span></span>
+<span><span class="co">## Date of fit:     Wed Aug 10 15:28:21 2022 </span></span>
+<span><span class="co">## Date of summary: Wed Aug 10 15:28:21 2022 </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Equations:</span></span>
+<span><span class="co">## d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Model predictions using solution type analytical </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fitted using 224 model solutions performed in 0.045 s</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model: Constant variance </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Error model algorithm: OLS </span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for parameters to be optimised:</span></span>
+<span><span class="co">##          value   type</span></span>
+<span><span class="co">## parent_0  96.6  state</span></span>
+<span><span class="co">## alpha      1.0 deparm</span></span>
+<span><span class="co">## beta      10.0 deparm</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Starting values for the transformed parameters actually optimised:</span></span>
+<span><span class="co">##               value lower upper</span></span>
+<span><span class="co">## parent_0  96.600000  -Inf   Inf</span></span>
+<span><span class="co">## log_alpha  0.000000  -Inf   Inf</span></span>
+<span><span class="co">## log_beta   2.302585  -Inf   Inf</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Fixed parameter values:</span></span>
+<span><span class="co">## None</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Results:</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">##        AIC      BIC    logLik</span></span>
+<span><span class="co">##   40.37255 40.69032 -16.18628</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Optimised, transformed parameters with symmetric confidence intervals:</span></span>
+<span><span class="co">##           Estimate Std. Error   Lower    Upper</span></span>
+<span><span class="co">## parent_0   99.1400     1.2670 95.6300 102.7000</span></span>
+<span><span class="co">## log_alpha  -0.3506     0.2616 -1.0770   0.3756</span></span>
+<span><span class="co">## log_beta    4.1740     0.3938  3.0810   5.2670</span></span>
+<span><span class="co">## sigma       1.8300     0.4575  0.5598   3.1000</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Parameter correlation:</span></span>
+<span><span class="co">##             parent_0  log_alpha   log_beta      sigma</span></span>
+<span><span class="co">## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.468e-07</span></span>
+<span><span class="co">## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.478e-08</span></span>
+<span><span class="co">## log_beta  -5.543e-01  9.889e-01  1.000e+00  5.211e-08</span></span>
+<span><span class="co">## sigma     -2.468e-07  2.478e-08  5.211e-08  1.000e+00</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Backtransformed parameters:</span></span>
+<span><span class="co">## Confidence intervals for internally transformed parameters are asymmetric.</span></span>
+<span><span class="co">## t-test (unrealistically) based on the assumption of normal distribution</span></span>
+<span><span class="co">## for estimators of untransformed parameters.</span></span>
+<span><span class="co">##          Estimate t value    Pr(&gt;t)   Lower   Upper</span></span>
+<span><span class="co">## parent_0  99.1400  78.250 7.993e-08 95.6300 102.700</span></span>
+<span><span class="co">## alpha      0.7042   3.823 9.365e-03  0.3407   1.456</span></span>
+<span><span class="co">## beta      64.9800   2.540 3.201e-02 21.7800 193.900</span></span>
+<span><span class="co">## sigma      1.8300   4.000 8.065e-03  0.5598   3.100</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## FOCUS Chi2 error levels in percent:</span></span>
+<span><span class="co">##          err.min n.optim df</span></span>
+<span><span class="co">## All data   2.029       3  5</span></span>
+<span><span class="co">## parent     2.029       3  5</span></span>
+<span><span class="co">## </span></span>
+<span><span class="co">## Estimated disappearance times:</span></span>
+<span><span class="co">##         DT50 DT90 DT50back</span></span>
+<span><span class="co">## parent 108.9 1644    494.9</span></span></code></pre>
 </div>
-<div id="references" class="section level1 unnumbered">
-<h1 class="hasAnchor">
-<a href="#references" class="anchor"></a>References</h1>
+<div class="section level2">
+<h2 class="unnumbered" id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
+</h2>
 <div id="refs" class="references hanging-indent">
 <div id="ref-ranke2014">
 <p>Ranke, Johannes. 2014. “Prüfung und Validierung von Modellierungssoftware als Alternative zu ModelMaker 4.0.” Umweltbundesamt Projektnummer 27452.</p>
@@ -801,11 +806,13 @@
 
 
       <footer><div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+  <p></p>
+<p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer>
@@ -814,5 +821,7 @@
   
 
 
+  
+
   </body>
 </html>
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--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-12-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png
index 8c9e8fd4..8387a272 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-13-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png
index b3aa8334..74f0fc48 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-15-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png
index 477829a5..1c56cb20 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-4-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-5-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-5-1.png
index e8f21107..4247131e 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-5-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-5-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png
index c0e08884..b6130527 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-6-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png
index 310b4f3b..dea51d58 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-8-1.png
diff --git a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png
index 570f0026..05460304 100644
--- a/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png
+++ b/docs/dev/articles/FOCUS_L_files/figure-html/unnamed-chunk-9-1.png
diff --git a/docs/dev/articles/index.html b/docs/dev/articles/index.html
index d1ca6668..526708a4 100644
--- a/docs/dev/articles/index.html
+++ b/docs/dev/articles/index.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -109,7 +112,7 @@
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/articles/web_only/benchmarks.html b/docs/dev/articles/web_only/benchmarks.html
index a6d52649..3dbf2881 100644
--- a/docs/dev/articles/web_only/benchmarks.html
+++ b/docs/dev/articles/web_only/benchmarks.html
@@ -20,6 +20,8 @@
 <![endif]-->
 </head>
 <body data-spy="scroll" data-target="#toc">
+    
+
     <div class="container template-article">
       <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
@@ -32,7 +34,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -42,7 +44,7 @@
   <a href="../../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -58,6 +60,9 @@
       <a href="../../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -80,7 +85,7 @@
       </ul>
 <ul class="nav navbar-nav navbar-right">
 <li>
-  <a href="https://github.com/jranke/mkin/">
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
@@ -95,243 +100,442 @@
 
       
 
-      </header><script src="benchmarks_files/header-attrs-2.6/header-attrs.js"></script><script src="benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
+      </header><script src="benchmarks_files/accessible-code-block-0.0.1/empty-anchor.js"></script><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header toc-ignore">
       <h1 data-toc-skip>Benchmark timings for mkin</h1>
-                        <h4 class="author">Johannes Ranke</h4>
+                        <h4 data-toc-skip class="author">Johannes Ranke</h4>
             
-            <h4 class="date">Last change 13 May 2020 (rebuilt 2021-02-15)</h4>
+            <h4 data-toc-skip class="date">Last change 14 July 2022 (rebuilt 2022-08-10)</h4>
       
-      <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/master/vignettes/web_only/benchmarks.rmd"><code>vignettes/web_only/benchmarks.rmd</code></a></small>
+      <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/vignettes/web_only/benchmarks.rmd" class="external-link"><code>vignettes/web_only/benchmarks.rmd</code></a></small>
       <div class="hidden name"><code>benchmarks.rmd</code></div>
 
     </div>
 
     
     
-<p>Each system is characterized by its CPU type, the operating system type and the mkin version. Currently only values for one system are available. A compiler was available, so if no analytical solution was available, compiled ODE models are used.</p>
-<div id="test-cases" class="section level2">
-<h2 class="hasAnchor">
-<a href="#test-cases" class="anchor"></a>Test cases</h2>
-<p>Parent only:</p>
+<p>Each system is characterized by the operating system type, the CPU type, the mkin version, and, as in June 2022 the current R version lead to worse performance, the R version. A compiler was available, so if no analytical solution was available, compiled ODE models are used.</p>
+<p>Every fit is only performed once, so the accuracy of the benchmarks is limited.</p>
+<p>The following wrapper function for <code>mmkin</code> is used because the way the error model is specified was changed in mkin version 0.9.49.1.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">FOCUS_C</span> <span class="op">&lt;-</span> <span class="va">FOCUS_2006_C</span>
-<span class="va">FOCUS_D</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/subset.html">subset</a></span><span class="op">(</span><span class="va">FOCUS_2006_D</span>, <span class="va">value</span> <span class="op">!=</span> <span class="fl">0</span><span class="op">)</span>
-<span class="va">parent_datasets</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_C</span>, <span class="va">FOCUS_D</span><span class="op">)</span>
-
-<span class="va">t1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>, <span class="st">"HS"</span><span class="op">)</span>, <span class="va">parent_datasets</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-<span class="va">t2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>, <span class="st">"HS"</span><span class="op">)</span>, <span class="va">parent_datasets</span>,
-    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></code></pre></div>
-<p>One metabolite:</p>
+<code class="sourceCode R"><span><span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/utils/packageDescription.html" class="external-link">packageVersion</a></span><span class="op">(</span><span class="st">"mkin"</span><span class="op">)</span> <span class="op">&gt;</span> <span class="st">"0.9.48.1"</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">mmkin_bench</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">models</span>, <span class="va">datasets</span>, <span class="va">error_model</span> <span class="op">=</span> <span class="st">"const"</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="va">models</span>, <span class="va">datasets</span>, error_model <span class="op">=</span> <span class="va">error_model</span>, cores <span class="op">=</span> <span class="fl">1</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>  <span class="op">}</span></span>
+<span><span class="op">}</span> <span class="kw">else</span> <span class="op">{</span></span>
+<span>  <span class="va">mmkin_bench</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">models</span>, <span class="va">datasets</span>, <span class="va">error_model</span> <span class="op">=</span> <span class="cn">NULL</span><span class="op">)</span> <span class="op">{</span></span>
+<span>    <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="va">models</span>, <span class="va">datasets</span>, reweight.method <span class="op">=</span> <span class="va">error_model</span>, cores <span class="op">=</span> <span class="fl">1</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span>  <span class="op">}</span></span>
+<span><span class="op">}</span></span></code></pre></div>
+<div class="section level2">
+<h2 id="test-cases">Test cases<a class="anchor" aria-label="anchor" href="#test-cases"></a>
+</h2>
+<p>Parent only:</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">SFO_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>
-  parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"m1"</span><span class="op">)</span>,
-  m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span>
-<span class="va">FOMC_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>
-  parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"m1"</span><span class="op">)</span>,
-  m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span>
-<span class="va">DFOP_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>
-  parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"m1"</span><span class="op">)</span>,
-  m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span>
-<span class="va">t3</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-<span class="va">t4</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-<span class="va">t5</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></code></pre></div>
-<p>Two metabolites, synthetic data:</p>
+<code class="sourceCode R"><span><span class="va">FOCUS_C</span> <span class="op">&lt;-</span> <span class="va">FOCUS_2006_C</span></span>
+<span><span class="va">FOCUS_D</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">FOCUS_2006_D</span>, <span class="va">value</span> <span class="op">!=</span> <span class="fl">0</span><span class="op">)</span></span>
+<span><span class="va">parent_datasets</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">FOCUS_C</span>, <span class="va">FOCUS_D</span><span class="op">)</span></span>
+<span></span>
+<span></span>
+<span><span class="va">t1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>, <span class="st">"HS"</span><span class="op">)</span>, <span class="va">parent_datasets</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span><span class="va">t2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span>, <span class="st">"HS"</span><span class="op">)</span>, <span class="va">parent_datasets</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span></code></pre></div>
+<p>One metabolite:</p>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">m_synth_SFO_lin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M1"</span><span class="op">)</span>,
-                           M1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M2"</span><span class="op">)</span>,
-                           M2 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,
-                           use_of_ff <span class="op">=</span> <span class="st">"max"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-
-<span class="va">m_synth_DFOP_par</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="st">"M1"</span>, <span class="st">"M2"</span><span class="op">)</span><span class="op">)</span>,
-                           M1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,
-                           M2 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,
-                           use_of_ff <span class="op">=</span> <span class="st">"max"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-
-<span class="va">SFO_lin_a</span> <span class="op">&lt;-</span> <span class="va">synthetic_data_for_UBA_2014</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span>
-
-<span class="va">DFOP_par_c</span> <span class="op">&lt;-</span> <span class="va">synthetic_data_for_UBA_2014</span><span class="op">[[</span><span class="fl">12</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span>
-
-<span class="va">t6</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_lin_a</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-<span class="va">t7</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-
-<span class="va">t8</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_lin_a</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-<span class="va">t9</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-
-<span class="va">t10</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">SFO_lin_a</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span>
-<span class="va">t11</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span>,
-    error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">SFO_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span></span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span>
+<span>  m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">FOMC_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span></span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span>
+<span>  m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">DFOP_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span></span>
+<span>  parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span>
+<span>  m1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="va">t3</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span><span class="va">t4</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span><span class="va">t5</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOMC_SFO</span>, <span class="va">DFOP_SFO</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">FOCUS_D</span><span class="op">)</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span></code></pre></div>
+<p>Two metabolites, synthetic data:</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">mkin_benchmarks</span><span class="op">[</span><span class="va">system_string</span>, <span class="fu"><a href="https://rdrr.io/r/base/paste.html">paste0</a></span><span class="op">(</span><span class="st">"t"</span>, <span class="fl">1</span><span class="op">:</span><span class="fl">11</span><span class="op">)</span><span class="op">]</span> <span class="op">&lt;-</span>
-  <span class="fu"><a href="https://rdrr.io/r/base/c.html">c</a></span><span class="op">(</span><span class="va">t1</span>, <span class="va">t2</span>, <span class="va">t3</span>, <span class="va">t4</span>, <span class="va">t5</span>, <span class="va">t6</span>, <span class="va">t7</span>, <span class="va">t8</span>, <span class="va">t9</span>, <span class="va">t10</span>, <span class="va">t11</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/base/save.html">save</a></span><span class="op">(</span><span class="va">mkin_benchmarks</span>, file <span class="op">=</span> <span class="st">"~/git/mkin/vignettes/web_only/mkin_benchmarks.rda"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">m_synth_SFO_lin</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M1"</span><span class="op">)</span>,</span>
+<span>                           M1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M2"</span><span class="op">)</span>,</span>
+<span>                           M2 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span>
+<span>                           use_of_ff <span class="op">=</span> <span class="st">"max"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">m_synth_DFOP_par</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"M1"</span>, <span class="st">"M2"</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>                           M1 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span>
+<span>                           M2 <span class="op">=</span> <span class="fu"><a href="../../reference/mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span>
+<span>                           use_of_ff <span class="op">=</span> <span class="st">"max"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span></span>
+<span><span class="va">SFO_lin_a</span> <span class="op">&lt;-</span> <span class="va">synthetic_data_for_UBA_2014</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span></span>
+<span></span>
+<span><span class="va">DFOP_par_c</span> <span class="op">&lt;-</span> <span class="va">synthetic_data_for_UBA_2014</span><span class="op">[[</span><span class="fl">12</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span></span>
+<span></span>
+<span><span class="va">t6</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">SFO_lin_a</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span><span class="va">t7</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span></span>
+<span><span class="va">t8</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">SFO_lin_a</span><span class="op">)</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span><span class="va">t9</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span></span>
+<span><span class="va">t10</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">m_synth_SFO_lin</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">SFO_lin_a</span><span class="op">)</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span>
+<span><span class="va">t11</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="fu">mmkin_bench</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">m_synth_DFOP_par</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DFOP_par_c</span><span class="op">)</span>,</span>
+<span>    error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span><span class="op">)</span><span class="op">[[</span><span class="st">"elapsed"</span><span class="op">]</span><span class="op">]</span></span></code></pre></div>
 </div>
-<div id="results" class="section level2">
-<h2 class="hasAnchor">
-<a href="#results" class="anchor"></a>Results</h2>
-<p>Currently, we only have benchmark information on one system, therefore only the mkin version is shown with the results below. Timings are in seconds, shorter is better. All results were obtained by serial, i.e. not using multiple computing cores.</p>
-<p>Benchmarks for all available error models are shown.</p>
-<div id="parent-only" class="section level3">
-<h3 class="hasAnchor">
-<a href="#parent-only" class="anchor"></a>Parent only</h3>
+<div class="section level2">
+<h2 id="results">Results<a class="anchor" aria-label="anchor" href="#results"></a>
+</h2>
+<p>Benchmarks for all available error models are shown. They are intended for improving mkin, not for comparing CPUs or operating systems. All trademarks belong to their respective owners.</p>
+<div class="section level3">
+<h3 id="parent-only">Parent only<a class="anchor" aria-label="anchor" href="#parent-only"></a>
+</h3>
 <p>Constant variance (t1) and two-component error model (t2) for four models fitted to two datasets, i.e. eight fits for each test.</p>
 <table class="table">
 <thead><tr class="header">
-<th align="left">mkin version</th>
-<th align="right">t1 [s]</th>
-<th align="right">t2 [s]</th>
+<th align="left">OS</th>
+<th align="left">CPU</th>
+<th align="left">R</th>
+<th align="left">mkin</th>
+<th align="right">t1</th>
+<th align="right">t2</th>
 </tr></thead>
 <tbody>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.48.1</td>
 <td align="right">3.610</td>
 <td align="right">11.019</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.1</td>
 <td align="right">8.184</td>
 <td align="right">22.889</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.2</td>
 <td align="right">7.064</td>
 <td align="right">12.558</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.3</td>
 <td align="right">7.296</td>
 <td align="right">21.239</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.4</td>
 <td align="right">5.936</td>
 <td align="right">20.545</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.2</td>
 <td align="right">1.714</td>
 <td align="right">3.971</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.3</td>
 <td align="right">1.752</td>
 <td align="right">4.156</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.4</td>
 <td align="right">1.786</td>
 <td align="right">3.729</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">1.0.3</td>
-<td align="right">1.722</td>
-<td align="right">3.419</td>
+<td align="right">1.881</td>
+<td align="right">3.504</td>
 </tr>
 <tr class="even">
-<td align="left">1.0.3.9000</td>
-<td align="right">2.770</td>
-<td align="right">3.458</td>
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
+<td align="left">1.0.4</td>
+<td align="right">1.867</td>
+<td align="right">3.450</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.1.3</td>
+<td align="left">1.1.0</td>
+<td align="right">1.791</td>
+<td align="right">3.289</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.0</td>
+<td align="right">1.842</td>
+<td align="right">3.453</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.0</td>
+<td align="right">1.959</td>
+<td align="right">4.116</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.1.3</td>
+<td align="left">1.1.0</td>
+<td align="right">1.877</td>
+<td align="right">3.906</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.1</td>
+<td align="right">1.644</td>
+<td align="right">3.172</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.1</td>
+<td align="right">1.770</td>
+<td align="right">3.377</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.2</td>
+<td align="right">1.940</td>
+<td align="right">3.619</td>
 </tr>
 </tbody>
 </table>
 </div>
-<div id="one-metabolite" class="section level3">
-<h3 class="hasAnchor">
-<a href="#one-metabolite" class="anchor"></a>One metabolite</h3>
+<div class="section level3">
+<h3 id="one-metabolite">One metabolite<a class="anchor" aria-label="anchor" href="#one-metabolite"></a>
+</h3>
 <p>Constant variance (t3), two-component error model (t4), and variance by variable (t5) for three models fitted to one dataset, i.e. three fits for each test.</p>
 <table class="table">
 <thead><tr class="header">
-<th align="left">mkin version</th>
-<th align="right">t3 [s]</th>
-<th align="right">t4 [s]</th>
-<th align="right">t5 [s]</th>
+<th align="left">OS</th>
+<th align="left">CPU</th>
+<th align="left">R</th>
+<th align="left">mkin</th>
+<th align="right">t3</th>
+<th align="right">t4</th>
+<th align="right">t5</th>
 </tr></thead>
 <tbody>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.48.1</td>
 <td align="right">3.764</td>
 <td align="right">14.347</td>
 <td align="right">9.495</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.1</td>
 <td align="right">4.649</td>
 <td align="right">13.789</td>
 <td align="right">6.395</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.2</td>
 <td align="right">4.786</td>
 <td align="right">8.461</td>
 <td align="right">5.675</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.3</td>
 <td align="right">4.510</td>
 <td align="right">13.805</td>
 <td align="right">7.386</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.4</td>
 <td align="right">4.446</td>
 <td align="right">15.335</td>
 <td align="right">6.002</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.2</td>
 <td align="right">1.402</td>
 <td align="right">6.174</td>
 <td align="right">2.764</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.3</td>
 <td align="right">1.430</td>
 <td align="right">6.615</td>
 <td align="right">2.878</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.4</td>
 <td align="right">1.397</td>
 <td align="right">7.251</td>
 <td align="right">2.810</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">1.0.3</td>
-<td align="right">1.402</td>
-<td align="right">6.343</td>
-<td align="right">2.802</td>
+<td align="right">1.430</td>
+<td align="right">6.344</td>
+<td align="right">2.798</td>
 </tr>
 <tr class="even">
-<td align="left">1.0.3.9000</td>
-<td align="right">1.405</td>
-<td align="right">6.417</td>
-<td align="right">2.824</td>
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
+<td align="left">1.0.4</td>
+<td align="right">1.415</td>
+<td align="right">6.364</td>
+<td align="right">2.820</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.1.3</td>
+<td align="left">1.1.0</td>
+<td align="right">1.310</td>
+<td align="right">6.279</td>
+<td align="right">2.681</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.0</td>
+<td align="right">3.802</td>
+<td align="right">21.247</td>
+<td align="right">8.461</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.0</td>
+<td align="right">3.334</td>
+<td align="right">19.521</td>
+<td align="right">7.565</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.1.3</td>
+<td align="left">1.1.0</td>
+<td align="right">1.578</td>
+<td align="right">8.058</td>
+<td align="right">3.339</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.1</td>
+<td align="right">1.230</td>
+<td align="right">5.839</td>
+<td align="right">2.444</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.1</td>
+<td align="right">1.308</td>
+<td align="right">5.758</td>
+<td align="right">2.558</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.2</td>
+<td align="right">1.490</td>
+<td align="right">6.035</td>
+<td align="right">2.799</td>
 </tr>
 </tbody>
 </table>
 </div>
-<div id="two-metabolites" class="section level3">
-<h3 class="hasAnchor">
-<a href="#two-metabolites" class="anchor"></a>Two metabolites</h3>
+<div class="section level3">
+<h3 id="two-metabolites">Two metabolites<a class="anchor" aria-label="anchor" href="#two-metabolites"></a>
+</h3>
 <p>Constant variance (t6 and t7), two-component error model (t8 and t9), and variance by variable (t10 and t11) for one model fitted to one dataset, i.e. one fit for each test.</p>
 <table class="table">
 <thead><tr class="header">
-<th align="left">mkin version</th>
-<th align="right">t6 [s]</th>
-<th align="right">t7 [s]</th>
-<th align="right">t8 [s]</th>
-<th align="right">t9 [s]</th>
-<th align="right">t10 [s]</th>
-<th align="right">t11 [s]</th>
+<th align="left">OS</th>
+<th align="left">CPU</th>
+<th align="left">R</th>
+<th align="left">mkin</th>
+<th align="right">t6</th>
+<th align="right">t7</th>
+<th align="right">t8</th>
+<th align="right">t9</th>
+<th align="right">t10</th>
+<th align="right">t11</th>
 </tr></thead>
 <tbody>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.48.1</td>
 <td align="right">2.623</td>
 <td align="right">4.587</td>
@@ -341,6 +545,9 @@
 <td align="right">31.267</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.1</td>
 <td align="right">2.542</td>
 <td align="right">4.128</td>
@@ -350,6 +557,9 @@
 <td align="right">5.636</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.2</td>
 <td align="right">2.723</td>
 <td align="right">4.478</td>
@@ -359,6 +569,9 @@
 <td align="right">5.574</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.3</td>
 <td align="right">2.643</td>
 <td align="right">4.374</td>
@@ -368,6 +581,9 @@
 <td align="right">7.365</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.49.4</td>
 <td align="right">2.635</td>
 <td align="right">4.259</td>
@@ -377,6 +593,9 @@
 <td align="right">5.626</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.2</td>
 <td align="right">0.777</td>
 <td align="right">1.236</td>
@@ -386,6 +605,9 @@
 <td align="right">2.987</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.3</td>
 <td align="right">0.858</td>
 <td align="right">1.264</td>
@@ -395,6 +617,9 @@
 <td align="right">3.073</td>
 </tr>
 <tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">0.9.50.4</td>
 <td align="right">0.783</td>
 <td align="right">1.282</td>
@@ -404,22 +629,112 @@
 <td align="right">3.105</td>
 </tr>
 <tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
 <td align="left">1.0.3</td>
-<td align="right">0.771</td>
-<td align="right">1.251</td>
-<td align="right">1.464</td>
-<td align="right">3.074</td>
-<td align="right">1.940</td>
-<td align="right">2.831</td>
+<td align="right">0.763</td>
+<td align="right">1.244</td>
+<td align="right">1.457</td>
+<td align="right">3.054</td>
+<td align="right">1.923</td>
+<td align="right">2.839</td>
 </tr>
 <tr class="even">
-<td align="left">1.0.3.9000</td>
-<td align="right">0.772</td>
-<td align="right">1.263</td>
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">NA</td>
+<td align="left">1.0.4</td>
+<td align="right">0.785</td>
+<td align="right">1.252</td>
+<td align="right">1.466</td>
+<td align="right">3.091</td>
+<td align="right">1.936</td>
+<td align="right">2.826</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.1.3</td>
+<td align="left">1.1.0</td>
+<td align="right">0.744</td>
+<td align="right">1.227</td>
+<td align="right">1.288</td>
+<td align="right">3.553</td>
+<td align="right">1.895</td>
+<td align="right">2.738</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.0</td>
+<td align="right">3.018</td>
+<td align="right">4.165</td>
+<td align="right">5.036</td>
+<td align="right">10.844</td>
+<td align="right">6.623</td>
+<td align="right">9.722</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.0</td>
+<td align="right">2.522</td>
+<td align="right">3.792</td>
+<td align="right">4.143</td>
+<td align="right">11.268</td>
+<td align="right">5.935</td>
+<td align="right">8.728</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.1.3</td>
+<td align="left">1.1.0</td>
+<td align="right">0.907</td>
+<td align="right">1.535</td>
+<td align="right">1.589</td>
+<td align="right">4.544</td>
+<td align="right">2.302</td>
+<td align="right">3.463</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">i7-4710MQ</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.1</td>
+<td align="right">0.678</td>
+<td align="right">1.095</td>
+<td align="right">1.149</td>
+<td align="right">3.247</td>
+<td align="right">1.658</td>
+<td align="right">2.472</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.1</td>
+<td align="right">0.696</td>
+<td align="right">1.124</td>
+<td align="right">1.321</td>
+<td align="right">2.786</td>
+<td align="right">1.744</td>
+<td align="right">2.566</td>
+</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Ryzen 7 1700</td>
+<td align="left">4.2.1</td>
+<td align="left">1.1.2</td>
+<td align="right">0.857</td>
+<td align="right">1.295</td>
 <td align="right">1.483</td>
-<td align="right">3.101</td>
-<td align="right">1.958</td>
-<td align="right">2.843</td>
+<td align="right">2.989</td>
+<td align="right">1.919</td>
+<td align="right">2.766</td>
 </tr>
 </tbody>
 </table>
@@ -438,11 +753,13 @@
 
 
       <footer><div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+  <p></p>
+<p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer>
@@ -451,5 +768,7 @@
   
 
 
+  
+
   </body>
 </html>
diff --git a/docs/dev/articles/web_only/dimethenamid_2018.html b/docs/dev/articles/web_only/dimethenamid_2018.html
index 6b5c8c4e..81b15cb9 100644
--- a/docs/dev/articles/web_only/dimethenamid_2018.html
+++ b/docs/dev/articles/web_only/dimethenamid_2018.html
@@ -34,7 +34,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -44,7 +44,7 @@
   <a href="../../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -60,6 +60,9 @@
       <a href="../../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -103,7 +106,7 @@
       <h1 data-toc-skip>Example evaluations of the dimethenamid data from 2018</h1>
                         <h4 data-toc-skip class="author">Johannes Ranke</h4>
             
-            <h4 data-toc-skip class="date">Last change 10 February 2022, built on 28 Feb 2022</h4>
+            <h4 data-toc-skip class="date">Last change 1 July 2022, built on 10 Aug 2022</h4>
       
       <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/vignettes/web_only/dimethenamid_2018.rmd" class="external-link"><code>vignettes/web_only/dimethenamid_2018.rmd</code></a></small>
       <div class="hidden name"><code>dimethenamid_2018.rmd</code></div>
@@ -116,8 +119,8 @@
 <div class="section level2">
 <h2 id="introduction">Introduction<a class="anchor" aria-label="anchor" href="#introduction"></a>
 </h2>
-<p>During the preparation of the journal article on nonlinear mixed-effects models in degradation kinetics <span class="citation">(Ranke et al. 2021)</span> and the analysis of the dimethenamid degradation data analysed therein, a need for a more detailed analysis using not only nlme and saemix, but also nlmixr for fitting the mixed-effects models was identified, as many model variants do not converge when fitted with nlme, and not all relevant error models can be fitted with saemix.</p>
-<p>This vignette is an attempt to satisfy this need.</p>
+<p>A first analysis of the data analysed here was presented in a recent journal article on nonlinear mixed-effects models in degradation kinetics <span class="citation">(Ranke et al. 2021)</span>. That analysis was based on the <code>nlme</code> package and a development version of the <code>saemix</code> package that was unpublished at the time. Meanwhile, version 3.0 of the <code>saemix</code> package is available from the CRAN repository. Also, it turned out that there was an error in the handling of the Borstel data in the mkin package at the time, leading to the duplication of a few data points from that soil. The dataset in the mkin package has been corrected, and the interface to <code>saemix</code> in the mkin package has been updated to use the released version.</p>
+<p>This vignette is intended to present an up to date analysis of the data, using the corrected dataset and released versions of <code>mkin</code> and <code>saemix</code>.</p>
 </div>
 <div class="section level2">
 <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a>
@@ -126,17 +129,17 @@
 <p>The data are <a href="https://pkgdown.jrwb.de/mkin/reference/dimethenamid_2018.html">available in the mkin package</a>. The following code (hidden by default, please use the button to the right to show it) treats the data available for the racemic mixture dimethenamid (DMTA) and its enantiomer dimethenamid-P (DMTAP) in the same way, as no difference between their degradation behaviour was identified in the EU risk assessment. The observation times of each dataset are multiplied with the corresponding normalisation factor also available in the dataset, in order to make it possible to describe all datasets with a single set of parameters.</p>
 <p>Also, datasets observed in the same soil are merged, resulting in dimethenamid (DMTA) data from six soils.</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://pkgdown.jrwb.de/mkin/">mkin</a></span>, quietly <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="va">dmta_ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">7</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span>
-  <span class="va">ds_i</span> <span class="op">&lt;-</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span><span class="op">[[</span><span class="va">i</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span>
-  <span class="va">ds_i</span><span class="op">[</span><span class="va">ds_i</span><span class="op">$</span><span class="va">name</span> <span class="op">==</span> <span class="st">"DMTAP"</span>, <span class="st">"name"</span><span class="op">]</span> <span class="op">&lt;-</span>  <span class="st">"DMTA"</span>
-  <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">&lt;-</span> <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">*</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">f_time_norm</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>
-  <span class="va">ds_i</span>
-<span class="op">}</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="va">ds</span><span class="op">$</span><span class="va">title</span><span class="op">)</span>
-<span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span>, <span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span>
-<span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span>
-<span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://pkgdown.jrwb.de/mkin/">mkin</a></span>, quietly <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="va">dmta_ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">7</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span></span>
+<span>  <span class="va">ds_i</span> <span class="op">&lt;-</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span><span class="op">[[</span><span class="va">i</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span></span>
+<span>  <span class="va">ds_i</span><span class="op">[</span><span class="va">ds_i</span><span class="op">$</span><span class="va">name</span> <span class="op">==</span> <span class="st">"DMTAP"</span>, <span class="st">"name"</span><span class="op">]</span> <span class="op">&lt;-</span>  <span class="st">"DMTA"</span></span>
+<span>  <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">&lt;-</span> <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">*</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">f_time_norm</span><span class="op">[</span><span class="va">i</span><span class="op">]</span></span>
+<span>  <span class="va">ds_i</span></span>
+<span><span class="op">}</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="va">ds</span><span class="op">$</span><span class="va">title</span><span class="op">)</span></span>
+<span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span>, <span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></span>
+<span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span>
+<span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span></code></pre></div>
 </div>
 <div class="section level2">
 <h2 id="parent-degradation">Parent degradation<a class="anchor" aria-label="anchor" href="#parent-degradation"></a>
@@ -147,30 +150,30 @@
 </h3>
 <p>As a first step, to get a visual impression of the fit of the different models, we do separate evaluations for each soil using the mmkin function from the mkin package:</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_mkin_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">dmta_ds</span>,
-  error_model <span class="op">=</span> <span class="st">"const"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>
-<span class="va">f_parent_mkin_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">dmta_ds</span>,
-  error_model <span class="op">=</span> <span class="st">"tc"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">f_parent_mkin_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">dmta_ds</span>,</span>
+<span>  error_model <span class="op">=</span> <span class="st">"const"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span><span class="va">f_parent_mkin_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="../../reference/mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">dmta_ds</span>,</span>
+<span>  error_model <span class="op">=</span> <span class="st">"tc"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p>The plot of the individual SFO fits shown below suggests that at least in some datasets the degradation slows down towards later time points, and that the scatter of the residuals error is smaller for smaller values (panel to the right):</p>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png" width="700"></p>
 <p>Using biexponential decline (DFOP) results in a slightly more random scatter of the residuals:</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png" width="700"></p>
 <p>The population curve (bold line) in the above plot results from taking the mean of the individual transformed parameters, i.e. of log k1 and log k2, as well as of the logit of the g parameter of the DFOP model). Here, this procedure does not result in parameters that represent the degradation well, because in some datasets the fitted value for k2 is extremely close to zero, leading to a log k2 value that dominates the average. This is alleviated if only rate constants that pass the t-test for significant difference from zero (on the untransformed scale) are considered in the averaging:</p>
 <div class="sourceCode" id="cb5"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png" width="700"></p>
 <p>While this is visually much more satisfactory, such an average procedure could introduce a bias, as not all results from the individual fits enter the population curve with the same weight. This is where nonlinear mixed-effects models can help out by treating all datasets with equally by fitting a parameter distribution model together with the degradation model and the error model (see below).</p>
 <p>The remaining trend of the residuals to be higher for higher predicted residues is reduced by using the two-component error model:</p>
 <div class="sourceCode" id="cb6"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="../../reference/mixed.html">mixed</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png" width="700"></p>
 <p>However, note that in the case of using this error model, the fits to the Flaach and BBA 2.3 datasets appear to be ill-defined, indicated by the fact that they did not converge:</p>
 <div class="sourceCode" id="cb7"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span></code></pre></div>
 <pre><code>&lt;mmkin&gt; object
 Status of individual fits:
 
@@ -178,9 +181,9 @@ Status of individual fits:
 model  Calke Borstel Flaach BBA 2.2 BBA 2.3 Elliot
   DFOP OK    OK      C      OK      C       OK    
 
-OK: No warnings
 C: Optimisation did not converge:
-iteration limit reached without convergence (10)</code></pre>
+iteration limit reached without convergence (10)
+OK: No warnings</code></pre>
 </div>
 <div class="section level3">
 <h3 id="nonlinear-mixed-effects-models">Nonlinear mixed-effects models<a class="anchor" aria-label="anchor" href="#nonlinear-mixed-effects-models"></a>
@@ -191,92 +194,146 @@ iteration limit reached without convergence (10)</code></pre>
 </h4>
 <p>The nlme package was the first R extension providing facilities to fit nonlinear mixed-effects models. We would like to do model selection from all four combinations of degradation models and error models based on the AIC. However, fitting the DFOP model with constant variance and using default control parameters results in an error, signalling that the maximum number of 50 iterations was reached, potentially indicating overparameterisation. Nevertheless, the algorithm converges when the two-component error model is used in combination with the DFOP model. This can be explained by the fact that the smaller residues observed at later sampling times get more weight when using the two-component error model which will counteract the tendency of the algorithm to try parameter combinations unsuitable for fitting these data.</p>
 <div class="sourceCode" id="cb9"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/" class="external-link">nlme</a></span><span class="op">)</span>
-<span class="va">f_parent_nlme_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span>
-<span class="co"># f_parent_nlme_dfop_const &lt;- nlme(f_parent_mkin_const["DFOP", ])</span>
-<span class="va">f_parent_nlme_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span>
-<span class="va">f_parent_nlme_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/" class="external-link">nlme</a></span><span class="op">)</span></span>
+<span><span class="va">f_parent_nlme_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
+<span><span class="co"># f_parent_nlme_dfop_const &lt;- nlme(f_parent_mkin_const["DFOP", ])</span></span>
+<span><span class="va">f_parent_nlme_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
+<span><span class="va">f_parent_nlme_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span></code></pre></div>
 <p>Note that a certain degree of overparameterisation is also indicated by a warning obtained when fitting DFOP with the two-component error model (‘false convergence’ in the ‘LME step’ in iteration 3). However, as this warning does not occur in later iterations, and specifically not in the last of the 6 iterations, we can ignore this warning.</p>
 <p>The model comparison function of the nlme package can directly be applied to these fits showing a much lower AIC for the DFOP model fitted with the two-component error model. Also, the likelihood ratio test indicates that this difference is significant as the p-value is below 0.0001.</p>
 <div class="sourceCode" id="cb10"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span>
-  <span class="va">f_parent_nlme_sfo_const</span>, <span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_dfop_tc</span>
-<span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span></span>
+<span>  <span class="va">f_parent_nlme_sfo_const</span>, <span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_dfop_tc</span></span>
+<span><span class="op">)</span></span></code></pre></div>
 <pre><code>                        Model df    AIC    BIC  logLik   Test L.Ratio p-value
 f_parent_nlme_sfo_const     1  5 796.60 811.82 -393.30                       
 f_parent_nlme_sfo_tc        2  6 798.60 816.86 -393.30 1 vs 2    0.00   0.998
 f_parent_nlme_dfop_tc       3 10 671.91 702.34 -325.96 2 vs 3  134.69  &lt;.0001</code></pre>
 <p>In addition to these fits, attempts were also made to include correlations between random effects by using the log Cholesky parameterisation of the matrix specifying them. The code used for these attempts can be made visible below.</p>
 <div class="sourceCode" id="cb12"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlme_sfo_const_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>,
-  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html" class="external-link">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k_DMTA</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span>, <span class="va">f_parent_nlme_sfo_const_logchol</span><span class="op">)</span>
-<span class="va">f_parent_nlme_sfo_tc_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>,
-  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html" class="external-link">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k_DMTA</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_sfo_tc_logchol</span><span class="op">)</span>
-<span class="va">f_parent_nlme_dfop_tc_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>,
-  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html" class="external-link">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k1</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k2</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">g_qlogis</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span>, <span class="va">f_parent_nlme_dfop_tc_logchol</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">f_parent_nlme_sfo_const_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>,</span>
+<span>  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html" class="external-link">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k_DMTA</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span>, <span class="va">f_parent_nlme_sfo_const_logchol</span><span class="op">)</span></span>
+<span><span class="va">f_parent_nlme_sfo_tc_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>,</span>
+<span>  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html" class="external-link">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k_DMTA</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_sfo_tc_logchol</span><span class="op">)</span></span>
+<span><span class="va">f_parent_nlme_dfop_tc_logchol</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>,</span>
+<span>  random <span class="op">=</span> <span class="fu">nlme</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdLogChol.html" class="external-link">pdLogChol</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">DMTA_0</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k1</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">log_k2</span> <span class="op">~</span> <span class="fl">1</span>, <span class="va">g_qlogis</span> <span class="op">~</span> <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span>, <span class="va">f_parent_nlme_dfop_tc_logchol</span><span class="op">)</span></span></code></pre></div>
 <p>While the SFO variants converge fast, the additional parameters introduced by this lead to convergence warnings for the DFOP model. The model comparison clearly show that adding correlations between random effects does not improve the fits.</p>
 <p>The selected model (DFOP with two-component error) fitted to the data assuming no correlations between random effects is shown below.</p>
 <div class="sourceCode" id="cb13"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png" width="700"></p>
 </div>
 <div class="section level4">
 <h4 id="saemix">saemix<a class="anchor" aria-label="anchor" href="#saemix"></a>
 </h4>
 <p>The saemix package provided the first Open Source implementation of the Stochastic Approximation to the Expectation Maximisation (SAEM) algorithm. SAEM fits of degradation models can be conveniently performed using an interface to the saemix package available in current development versions of the mkin package.</p>
-<p>The corresponding SAEM fits of the four combinations of degradation and error models are fitted below. As there is no convergence criterion implemented in the saemix package, the convergence plots need to be manually checked for every fit. As we will compare the SAEM implementation of saemix to the results obtained using the nlmixr package later, we define control settings that work well for all the parent data fits shown in this vignette.</p>
+<p>The corresponding SAEM fits of the four combinations of degradation and error models are fitted below. As there is no convergence criterion implemented in the saemix package, the convergence plots need to be manually checked for every fit. We define control settings that work well for all the parent data fits shown in this vignette.</p>
 <div class="sourceCode" id="cb14"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">saemix</span><span class="op">)</span>
-<span class="va">saemix_control</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html" class="external-link">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">800</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,
-    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
-<span class="va">saemix_control_moreiter</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html" class="external-link">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1600</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,
-    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>
-<span class="va">saemix_control_10k</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html" class="external-link">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">10000</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,
-    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">saemix</span><span class="op">)</span></span>
+<span><span class="va">saemix_control</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html" class="external-link">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">800</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,</span>
+<span>    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
+<span><span class="va">saemix_control_moreiter</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html" class="external-link">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1600</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,</span>
+<span>    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span>
+<span><span class="va">saemix_control_10k</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/saemixControl.html" class="external-link">saemixControl</a></span><span class="op">(</span>nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">10000</span>, <span class="fl">300</span><span class="op">)</span>, nb.chains <span class="op">=</span> <span class="fl">15</span>,</span>
+<span>    print <span class="op">=</span> <span class="cn">FALSE</span>, save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span>, displayProgress <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div>
 <p>The convergence plot for the SFO model using constant variance is shown below.</p>
 <div class="sourceCode" id="cb15"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_saemix_sfo_const</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
-  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">f_parent_saemix_sfo_const</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_const-1.png" width="700"></p>
-<p>Obviously the default number of iterations is sufficient to reach convergence. This can also be said for the SFO fit using the two-component error model.</p>
+<p>Obviously the selected number of iterations is sufficient to reach convergence. This can also be said for the SFO fit using the two-component error model.</p>
 <div class="sourceCode" id="cb16"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_saemix_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
-  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">f_parent_saemix_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_sfo_tc-1.png" width="700"></p>
 <p>When fitting the DFOP model with constant variance (see below), parameter convergence is not as unambiguous.</p>
 <div class="sourceCode" id="cb17"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_const</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
-  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="va">f_parent_saemix_dfop_const</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_const-1.png" width="700"></p>
-<p>This is improved when the DFOP model is fitted with the two-component error model. Convergence of the variance of k2 is enhanced, it remains more or less stable already after 200 iterations of the first phase.</p>
 <div class="sourceCode" id="cb18"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
-  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
-<span class="va">f_parent_saemix_dfop_tc_moreiter</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,
-  control <span class="op">=</span> <span class="va">saemix_control_moreiter</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_const</span><span class="op">)</span></span></code></pre></div>
+<pre><code>Kinetic nonlinear mixed-effects model fit by SAEM
+Structural model:
+d_DMTA/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
+           time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
+           * DMTA
+
+Data:
+155 observations of 1 variable(s) grouped in 6 datasets
+
+Likelihood computed by importance sampling
+  AIC BIC logLik
+  706 704   -344
+
+Fitted parameters:
+          estimate    lower   upper
+DMTA_0    97.99583 96.50079 99.4909
+k1         0.06377  0.03432  0.0932
+k2         0.00848  0.00444  0.0125
+g          0.95701  0.91313  1.0009
+a.1        1.82141  1.65974  1.9831
+SD.DMTA_0  1.64787  0.45779  2.8379
+SD.k1      0.57439  0.24731  0.9015
+SD.k2      0.03296 -2.50143  2.5673
+SD.g       1.10266  0.32371  1.8816</code></pre>
+<p>While the other parameters converge to credible values, the variance of k2 (<code>omega2.k2</code>) converges to a very small value. The printout of the <code>saem.mmkin</code> model shows that the estimated standard deviation of k2 across the population of soils (<code>SD.k2</code>) is ill-defined, indicating overparameterisation of this model.</p>
+<p>When the DFOP model is fitted with the two-component error model, we also observe that the estimated variance of k2 becomes very small, while being ill-defined, as illustrated by the excessive confidence interval of <code>SD.k2</code>.</p>
+<div class="sourceCode" id="cb20"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">f_parent_saemix_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  control <span class="op">=</span> <span class="va">saemix_control</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span>
+<span><span class="va">f_parent_saemix_dfop_tc_moreiter</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  control <span class="op">=</span> <span class="va">saemix_control_moreiter</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span></code></pre></div>
 <p><img src="dimethenamid_2018_files/figure-html/f_parent_saemix_dfop_tc-1.png" width="700"></p>
-<p>Doubling the number of iterations in the first phase of the algorithm leads to a slightly lower likelihood, and therefore to slightly higher AIC and BIC values. With even more iterations, the algorithm stops with an error message. This is related to the variance of k2 approximating zero. This has been submitted as a <a href="https://github.com/saemixdevelopment/saemixextension/issues/29" class="external-link">bug to the saemix package</a>, as the algorithm does not converge in this case.</p>
+<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">)</span></span></code></pre></div>
+<pre><code>Kinetic nonlinear mixed-effects model fit by SAEM
+Structural model:
+d_DMTA/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
+           time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
+           * DMTA
+
+Data:
+155 observations of 1 variable(s) grouped in 6 datasets
+
+Likelihood computed by importance sampling
+  AIC BIC logLik
+  666 664   -323
+
+Fitted parameters:
+          estimate    lower    upper
+DMTA_0    98.27617  96.3088 100.2436
+k1         0.06437   0.0337   0.0950
+k2         0.00880   0.0063   0.0113
+g          0.95249   0.9100   0.9949
+a.1        1.06161   0.8625   1.2607
+b.1        0.02967   0.0226   0.0367
+SD.DMTA_0  2.06075   0.4187   3.7028
+SD.k1      0.59357   0.2561   0.9310
+SD.k2      0.00292 -10.2960  10.3019
+SD.g       1.05725   0.3808   1.7337</code></pre>
+<p>Doubling the number of iterations in the first phase of the algorithm leads to a slightly lower likelihood, and therefore to slightly higher AIC and BIC values. With even more iterations, the algorithm stops with an error message. This is related to the variance of k2 approximating zero and has been submitted as a <a href="https://github.com/saemixdevelopment/saemixextension/issues/29" class="external-link">bug to the saemix package</a>, as the algorithm does not converge in this case.</p>
 <p>An alternative way to fit DFOP in combination with the two-component error model is to use the model formulation with transformed parameters as used per default in mkin. When using this option, convergence is slower, but eventually the algorithm stops as well with the same error message.</p>
 <p>The four combinations (SFO/const, SFO/tc, DFOP/const and DFOP/tc) and the version with increased iterations can be compared using the model comparison function of the saemix package:</p>
-<div class="sourceCode" id="cb19"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">AIC_parent_saemix</span> <span class="op">&lt;-</span> <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span>
-  <span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>,
-  <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,
-  <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>,
-  <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>,
-  <span class="va">f_parent_saemix_dfop_tc_moreiter</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></code></pre></div>
+<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">AIC_parent_saemix</span> <span class="op">&lt;-</span> <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span></span>
+<span>  <span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>,</span>
+<span>  <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,</span>
+<span>  <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>,</span>
+<span>  <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>,</span>
+<span>  <span class="va">f_parent_saemix_dfop_tc_moreiter</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span></code></pre></div>
 <pre><code>Likelihoods calculated by importance sampling</code></pre>
-<div class="sourceCode" id="cb21"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/base/colnames.html" class="external-link">rownames</a></span><span class="op">(</span><span class="va">AIC_parent_saemix</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>
-  <span class="st">"SFO const"</span>, <span class="st">"SFO tc"</span>, <span class="st">"DFOP const"</span>, <span class="st">"DFOP tc"</span>, <span class="st">"DFOP tc more iterations"</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix</span><span class="op">)</span></code></pre></div>
+<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/base/colnames.html" class="external-link">rownames</a></span><span class="op">(</span><span class="va">AIC_parent_saemix</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span>
+<span>  <span class="st">"SFO const"</span>, <span class="st">"SFO tc"</span>, <span class="st">"DFOP const"</span>, <span class="st">"DFOP tc"</span>, <span class="st">"DFOP tc more iterations"</span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix</span><span class="op">)</span></span></code></pre></div>
 <pre><code>                           AIC    BIC
 SFO const               796.38 795.34
 SFO tc                  798.38 797.13
@@ -284,149 +341,57 @@ DFOP const              705.75 703.88
 DFOP tc                 665.65 663.57
 DFOP tc more iterations 665.88 663.80</code></pre>
 <p>In order to check the influence of the likelihood calculation algorithms implemented in saemix, the likelihood from Gaussian quadrature is added to the best fit, and the AIC values obtained from the three methods are compared.</p>
-<div class="sourceCode" id="cb23"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span> <span class="op">&lt;-</span>
-  <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/llgq.saemix.html" class="external-link">llgq.saemix</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>
-<span class="va">AIC_parent_saemix_methods</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>
-  is <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"is"</span><span class="op">)</span>,
-  gq <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"gq"</span><span class="op">)</span>,
-  lin <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"lin"</span><span class="op">)</span>
-<span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix_methods</span><span class="op">)</span></code></pre></div>
+<div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span> <span class="op">&lt;-</span></span>
+<span>  <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/llgq.saemix.html" class="external-link">llgq.saemix</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span>
+<span><span class="va">AIC_parent_saemix_methods</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span>
+<span>  is <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"is"</span><span class="op">)</span>,</span>
+<span>  gq <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"gq"</span><span class="op">)</span>,</span>
+<span>  lin <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"lin"</span><span class="op">)</span></span>
+<span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix_methods</span><span class="op">)</span></span></code></pre></div>
 <pre><code>    is     gq    lin 
 665.65 665.68 665.11 </code></pre>
-<p>The AIC values based on importance sampling and Gaussian quadrature are very similar. Using linearisation is known to be less accurate, but still gives a similar value. In order to illustrate that the comparison of the three method depends on the degree of convergence obtained in the fit, the same comparison is shown below for the fit using the defaults for the number of iterations and the number of MCMC chains.</p>
-<div class="sourceCode" id="cb25"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_saemix_dfop_tc_defaults</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span>
-<span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span> <span class="op">&lt;-</span>
-  <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/llgq.saemix.html" class="external-link">llgq.saemix</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>
-<span class="va">AIC_parent_saemix_methods_defaults</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>
-  is <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"is"</span><span class="op">)</span>,
-  gq <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"gq"</span><span class="op">)</span>,
-  lin <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"lin"</span><span class="op">)</span>
-<span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix_methods_defaults</span><span class="op">)</span></code></pre></div>
+<p>The AIC values based on importance sampling and Gaussian quadrature are very similar. Using linearisation is known to be less accurate, but still gives a similar value.</p>
+<p>In order to illustrate that the comparison of the three method depends on the degree of convergence obtained in the fit, the same comparison is shown below for the fit using the defaults for the number of iterations and the number of MCMC chains.</p>
+<p>When using OpenBlas for linear algebra, there is a large difference in the values obtained with Gaussian quadrature, so the larger number of iterations makes a lot of difference. When using the LAPACK version coming with Debian Bullseye, the AIC based on Gaussian quadrature is almost the same as the one obtained with the other methods, also when using defaults for the fit.</p>
+<div class="sourceCode" id="cb29"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">f_parent_saemix_dfop_tc_defaults</span> <span class="op">&lt;-</span> <span class="fu">mkin</span><span class="fu">::</span><span class="fu"><a href="../../reference/saem.html">saem</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span>
+<span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span> <span class="op">&lt;-</span></span>
+<span>  <span class="fu">saemix</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/llgq.saemix.html" class="external-link">llgq.saemix</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span>
+<span><span class="va">AIC_parent_saemix_methods_defaults</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span></span>
+<span>  is <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"is"</span><span class="op">)</span>,</span>
+<span>  gq <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"gq"</span><span class="op">)</span>,</span>
+<span>  lin <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_saemix_dfop_tc_defaults</span><span class="op">$</span><span class="va">so</span>, method <span class="op">=</span> <span class="st">"lin"</span><span class="op">)</span></span>
+<span><span class="op">)</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">AIC_parent_saemix_methods_defaults</span><span class="op">)</span></span></code></pre></div>
 <pre><code>    is     gq    lin 
 668.27 718.36 666.49 </code></pre>
 </div>
-<div class="section level4">
-<h4 id="nlmixr">nlmixr<a class="anchor" aria-label="anchor" href="#nlmixr"></a>
-</h4>
-<p>In the last years, a lot of effort has been put into the nlmixr package which is designed for pharmacokinetics, where nonlinear mixed-effects models are routinely used, but which can also be used for related data like chemical degradation data. A current development branch of the mkin package provides an interface between mkin and nlmixr. Here, we check if we get equivalent results when using a refined version of the First Order Conditional Estimation (FOCE) algorithm used in nlme, namely the First Order Conditional Estimation with Interaction (FOCEI), and the SAEM algorithm as implemented in nlmixr.</p>
-<p>First, the focei algorithm is used for the four model combinations.</p>
-<div class="sourceCode" id="cb27"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/nlmixrdevelopment/nlmixr" class="external-link">nlmixr</a></span><span class="op">)</span>
-<span class="va">f_parent_nlmixr_focei_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span>
-<span class="va">f_parent_nlmixr_focei_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span>
-<span class="va">f_parent_nlmixr_focei_dfop_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span>
-<span class="va">f_parent_nlmixr_focei_dfop_tc</span><span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"focei"</span><span class="op">)</span></code></pre></div>
-<p>For the SFO model with constant variance, the AIC values are the same, for the DFOP model, there are significant differences between the AIC values. These may be caused by different solutions that are found, but also by the fact that the AIC values for the nlmixr fits are calculated based on Gaussian quadrature, not on linearisation.</p>
-<div class="sourceCode" id="cb28"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">aic_nlmixr_focei</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span>
-  <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_focei_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
-    <span class="va">f_parent_nlmixr_focei_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span>,
-  <span class="va">AIC</span><span class="op">)</span>
-<span class="va">aic_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span>
-  <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span>, <span class="cn">NA</span>, <span class="va">f_parent_nlme_sfo_tc</span>, <span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span>,
-  <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/NA.html" class="external-link">is.na</a></span><span class="op">(</span><span class="va">x</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span><span class="op">)</span><span class="op">)</span> <span class="cn">NA</span> <span class="kw">else</span> <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">x</span><span class="op">)</span><span class="op">)</span>
-<span class="va">aic_nlme_nlmixr_focei</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>
-  <span class="st">"Degradation model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"SFO"</span>, <span class="st">"DFOP"</span>, <span class="st">"DFOP"</span><span class="op">)</span>,
-  <span class="st">"Error model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"constant variance"</span>, <span class="st">"two-component"</span><span class="op">)</span>, <span class="fl">2</span><span class="op">)</span>,
-  <span class="st">"AIC (nlme)"</span> <span class="op">=</span> <span class="va">aic_nlme</span>,
-  <span class="st">"AIC (nlmixr with FOCEI)"</span> <span class="op">=</span> <span class="va">aic_nlmixr_focei</span>,
-  check.names <span class="op">=</span> <span class="cn">FALSE</span>
-<span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">aic_nlme_nlmixr_focei</span><span class="op">)</span></code></pre></div>
-<pre><code>  Degradation model       Error model AIC (nlme) AIC (nlmixr with FOCEI)
-1               SFO constant variance     796.60                  796.60
-2               SFO     two-component         NA                  798.64
-3              DFOP constant variance     798.60                  745.87
-4              DFOP     two-component     671.91                  740.42</code></pre>
-<p>Secondly, we use the SAEM estimation routine and check the convergence plots. The control parameters, which were also used for the saemix fits, are defined beforehand.</p>
-<div class="sourceCode" id="cb30"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">nlmixr_saem_control_800</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html" class="external-link">saemControl</a></span><span class="op">(</span>logLik <span class="op">=</span> <span class="cn">TRUE</span>,
-  nBurn <span class="op">=</span> <span class="fl">800</span>, nEm <span class="op">=</span> <span class="fl">300</span>, nmc <span class="op">=</span> <span class="fl">15</span><span class="op">)</span>
-<span class="va">nlmixr_saem_control_moreiter</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html" class="external-link">saemControl</a></span><span class="op">(</span>logLik <span class="op">=</span> <span class="cn">TRUE</span>,
-  nBurn <span class="op">=</span> <span class="fl">1600</span>, nEm <span class="op">=</span> <span class="fl">300</span>, nmc <span class="op">=</span> <span class="fl">15</span><span class="op">)</span>
-<span class="va">nlmixr_saem_control_10k</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html" class="external-link">saemControl</a></span><span class="op">(</span>logLik <span class="op">=</span> <span class="cn">TRUE</span>,
-  nBurn <span class="op">=</span> <span class="fl">10000</span>, nEm <span class="op">=</span> <span class="fl">1000</span>, nmc <span class="op">=</span> <span class="fl">15</span><span class="op">)</span></code></pre></div>
-<p>Then we fit SFO with constant variance</p>
-<div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_sfo_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
-  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html" class="external-link">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_const</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_const-1.png" width="700"></p>
-<p>and SFO with two-component error.</p>
-<div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
-  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html" class="external-link">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_sfo_tc-1.png" width="700"></p>
-<p>For DFOP with constant variance, the convergence plots show considerable instability of the fit, which indicates overparameterisation which was already observed above for this model combination. Also note that the variance of k2 approximates zero, which was already observed in the saemix fits of the DFOP model.</p>
-<div class="sourceCode" id="cb33"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_const</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_const</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
-  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html" class="external-link">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_const</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_const-1.png" width="700"></p>
-<p>For DFOP with two-component error, a less erratic convergence is seen, but the variance of k2 again approximates zero.</p>
-<div class="sourceCode" id="cb34"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
-  control <span class="op">=</span> <span class="va">nlmixr_saem_control_800</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html" class="external-link">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc-1.png" width="700"></p>
-<p>To check if an increase in the number of iterations improves the fit, we repeat the fit with 1000 iterations for the burn in phase and 300 iterations for the second phase.</p>
-<div class="sourceCode" id="cb35"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_tc_moreiter</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
-  control <span class="op">=</span> <span class="va">nlmixr_saem_control_moreiter</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html" class="external-link">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc_moreiter</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_1k-1.png" width="700"></p>
-<p>Here the fit looks very similar, but we will see below that it shows a higher AIC than the fit with 800 iterations in the burn in phase. Next we choose 10 000 iterations for the burn in phase and 1000 iterations for the second phase for comparison with saemix.</p>
-<div class="sourceCode" id="cb36"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_parent_mkin_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span>, est <span class="op">=</span> <span class="st">"saem"</span>,
-  control <span class="op">=</span> <span class="va">nlmixr_saem_control_10k</span><span class="op">)</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/traceplot.html" class="external-link">traceplot</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<p><img src="dimethenamid_2018_files/figure-html/f_parent_nlmixr_saem_dfop_tc_10k-1.png" width="700"></p>
-<p>The AIC values are internally calculated using Gaussian quadrature.</p>
-<div class="sourceCode" id="cb37"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
-  <span class="va">f_parent_nlmixr_saem_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">$</span><span class="va">nm</span>,
-  <span class="va">f_parent_nlmixr_saem_dfop_tc_moreiter</span><span class="op">$</span><span class="va">nm</span>,
-  <span class="va">f_parent_nlmixr_saem_dfop_tc_10k</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></code></pre></div>
-<pre><code>                                         df     AIC
-f_parent_nlmixr_saem_sfo_const$nm         5  798.71
-f_parent_nlmixr_saem_sfo_tc$nm            6  808.64
-f_parent_nlmixr_saem_dfop_const$nm        9 1995.96
-f_parent_nlmixr_saem_dfop_tc$nm          10  664.96
-f_parent_nlmixr_saem_dfop_tc_moreiter$nm 10 4464.93
-f_parent_nlmixr_saem_dfop_tc_10k$nm      10     Inf</code></pre>
-<p>We can see that again, the DFOP/tc model shows the best goodness of fit. However, increasing the number of burn-in iterations from 800 to 1600 results in a higher AIC. If we further increase the number of iterations to 10 000 (burn-in) and 1000 (second phase), the AIC cannot be calculated for the nlmixr/saem fit, confirming that this fit does not converge properly with the SAEM algorithm.</p>
 </div>
-<div class="section level4">
-<h4 id="comparison">Comparison<a class="anchor" aria-label="anchor" href="#comparison"></a>
-</h4>
-<p>The following table gives the AIC values obtained with the three packages using the same control parameters (800 iterations burn-in, 300 iterations second phase, 15 chains).</p>
-<div class="sourceCode" id="cb39"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="va">AIC_all</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>
-  check.names <span class="op">=</span> <span class="cn">FALSE</span>,
-  <span class="st">"Degradation model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"SFO"</span>, <span class="st">"DFOP"</span>, <span class="st">"DFOP"</span><span class="op">)</span>,
-  <span class="st">"Error model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"const"</span>, <span class="st">"tc"</span>, <span class="st">"const"</span>, <span class="st">"tc"</span><span class="op">)</span>,
-  nlme <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_tc</span><span class="op">)</span>, <span class="cn">NA</span>, <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span><span class="op">)</span>,
-  nlmixr_focei <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_focei_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
-  <span class="va">f_parent_nlmixr_focei_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_focei_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span>, <span class="va">AIC</span><span class="op">)</span>,
-  saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,
-    <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>, <span class="va">AIC</span><span class="op">)</span>,
-  nlmixr_saem <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_nlmixr_saem_sfo_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_sfo_tc</span><span class="op">$</span><span class="va">nm</span>,
-  <span class="va">f_parent_nlmixr_saem_dfop_const</span><span class="op">$</span><span class="va">nm</span>, <span class="va">f_parent_nlmixr_saem_dfop_tc</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span>, <span class="va">AIC</span><span class="op">)</span>
-<span class="op">)</span>
-<span class="fu">kable</span><span class="op">(</span><span class="va">AIC_all</span><span class="op">)</span></code></pre></div>
+<div class="section level3">
+<h3 id="comparison">Comparison<a class="anchor" aria-label="anchor" href="#comparison"></a>
+</h3>
+<p>The following table gives the AIC values obtained with both backend packages using the same control parameters (800 iterations burn-in, 300 iterations second phase, 15 chains).</p>
+<div class="sourceCode" id="cb31"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="va">AIC_all</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span></span>
+<span>  check.names <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="st">"Degradation model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"SFO"</span>, <span class="st">"DFOP"</span>, <span class="st">"DFOP"</span><span class="op">)</span>,</span>
+<span>  <span class="st">"Error model"</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"const"</span>, <span class="st">"tc"</span>, <span class="st">"const"</span>, <span class="st">"tc"</span><span class="op">)</span>,</span>
+<span>  nlme <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_const</span><span class="op">)</span>, <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_sfo_tc</span><span class="op">)</span>, <span class="cn">NA</span>, <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_parent_nlme_dfop_tc</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>  saemix_lin <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,</span>
+<span>    <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>, <span class="va">AIC</span>, method <span class="op">=</span> <span class="st">"lin"</span><span class="op">)</span>,</span>
+<span>  saemix_is <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">f_parent_saemix_sfo_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_sfo_tc</span><span class="op">$</span><span class="va">so</span>,</span>
+<span>    <span class="va">f_parent_saemix_dfop_const</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_parent_saemix_dfop_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span>, <span class="va">AIC</span>, method <span class="op">=</span> <span class="st">"is"</span><span class="op">)</span></span>
+<span><span class="op">)</span></span>
+<span><span class="fu">kable</span><span class="op">(</span><span class="va">AIC_all</span><span class="op">)</span></span></code></pre></div>
 <table class="table">
 <thead><tr class="header">
 <th align="left">Degradation model</th>
 <th align="left">Error model</th>
 <th align="right">nlme</th>
-<th align="right">nlmixr_focei</th>
-<th align="right">saemix</th>
-<th align="right">nlmixr_saem</th>
+<th align="right">saemix_lin</th>
+<th align="right">saemix_is</th>
 </tr></thead>
 <tbody>
 <tr class="odd">
@@ -435,36 +400,81 @@ f_parent_nlmixr_saem_dfop_tc_10k$nm      10     Inf</code></pre>
 <td align="right">796.60</td>
 <td align="right">796.60</td>
 <td align="right">796.38</td>
-<td align="right">798.71</td>
 </tr>
 <tr class="even">
 <td align="left">SFO</td>
 <td align="left">tc</td>
 <td align="right">798.60</td>
-<td align="right">798.64</td>
+<td align="right">798.60</td>
 <td align="right">798.38</td>
-<td align="right">808.64</td>
 </tr>
 <tr class="odd">
 <td align="left">DFOP</td>
 <td align="left">const</td>
 <td align="right">NA</td>
-<td align="right">745.87</td>
+<td align="right">671.98</td>
 <td align="right">705.75</td>
-<td align="right">1995.96</td>
 </tr>
 <tr class="even">
 <td align="left">DFOP</td>
 <td align="left">tc</td>
 <td align="right">671.91</td>
-<td align="right">740.42</td>
+<td align="right">665.11</td>
 <td align="right">665.65</td>
-<td align="right">664.96</td>
 </tr>
 </tbody>
 </table>
 </div>
 </div>
+<div class="section level2">
+<h2 id="conclusion">Conclusion<a class="anchor" aria-label="anchor" href="#conclusion"></a>
+</h2>
+<p>A more detailed analysis of the dimethenamid dataset confirmed that the DFOP model provides the most appropriate description of the decline of the parent compound in these data. On the other hand, closer inspection of the results revealed that the variability of the k2 parameter across the population of soils is ill-defined. This coincides with the observation that this parameter cannot robustly be quantified for some of the soils.</p>
+<p>Regarding the regulatory use of these data, it is claimed that an improved characterisation of the mean parameter values across the population is obtained using the nonlinear mixed-effects models presented here. However, attempts to quantify the variability of the slower rate constant of the biphasic decline of dimethenamid indicate that the data are not sufficient to characterise this variability to a satisfactory precision.</p>
+</div>
+<div class="section level2">
+<h2 id="session-info">Session Info<a class="anchor" aria-label="anchor" href="#session-info"></a>
+</h2>
+<div class="sourceCode" id="cb32"><pre class="downlit sourceCode r">
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/sessionInfo.html" class="external-link">sessionInfo</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
+<pre><code>R version 4.2.1 (2022-06-23)
+Platform: x86_64-pc-linux-gnu (64-bit)
+Running under: Debian GNU/Linux 11 (bullseye)
+
+Matrix products: default
+BLAS:   /usr/lib/x86_64-linux-gnu/openblas-serial/libblas.so.3
+LAPACK: /usr/lib/x86_64-linux-gnu/openblas-serial/libopenblas-r0.3.13.so
+
+locale:
+ [1] LC_CTYPE=de_DE.UTF-8       LC_NUMERIC=C              
+ [3] LC_TIME=C                  LC_COLLATE=de_DE.UTF-8    
+ [5] LC_MONETARY=de_DE.UTF-8    LC_MESSAGES=de_DE.UTF-8   
+ [7] LC_PAPER=de_DE.UTF-8       LC_NAME=C                 
+ [9] LC_ADDRESS=C               LC_TELEPHONE=C            
+[11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C       
+
+attached base packages:
+[1] stats     graphics  grDevices utils     datasets  methods   base     
+
+other attached packages:
+[1] saemix_3.1   npde_3.2     nlme_3.1-158 mkin_1.1.2   knitr_1.39  
+
+loaded via a namespace (and not attached):
+ [1] deSolve_1.33      zoo_1.8-10        tidyselect_1.1.2  xfun_0.31        
+ [5] bslib_0.4.0       purrr_0.3.4       lattice_0.20-45   colorspace_2.0-3 
+ [9] vctrs_0.4.1       generics_0.1.3    htmltools_0.5.3   yaml_2.3.5       
+[13] utf8_1.2.2        rlang_1.0.4       pkgdown_2.0.6     jquerylib_0.1.4  
+[17] pillar_1.8.0      glue_1.6.2        DBI_1.1.3         lifecycle_1.0.1  
+[21] stringr_1.4.0     munsell_0.5.0     gtable_0.3.0      ragg_1.2.2       
+[25] codetools_0.2-18  memoise_2.0.1     evaluate_0.15     fastmap_1.1.0    
+[29] lmtest_0.9-40     parallel_4.2.1    fansi_1.0.3       highr_0.9        
+[33] scales_1.2.0      cachem_1.0.6      desc_1.4.1        jsonlite_1.8.0   
+[37] systemfonts_1.0.4 fs_1.5.2          textshaping_0.3.6 gridExtra_2.3    
+[41] ggplot2_3.3.6     digest_0.6.29     stringi_1.7.8     dplyr_1.0.9      
+[45] grid_4.2.1        rprojroot_2.0.3   cli_3.3.0         tools_4.2.1      
+[49] magrittr_2.0.3    sass_0.4.2        tibble_3.1.8      pkgconfig_2.0.3  
+[53] assertthat_0.2.1  rmarkdown_2.14.3  R6_2.5.1          mclust_5.4.10    
+[57] compiler_4.2.1   </code></pre>
 </div>
 <div class="section level2">
 <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
@@ -501,7 +511,7 @@ f_parent_nlmixr_saem_dfop_tc_10k$nm      10     Inf</code></pre>
 
 <div class="pkgdown">
   <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer>
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
index 950abf27..4999e72c 100644
--- a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
index 66481bc1..b59764b1 100644
--- a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_const_test-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
index 557ccc45..da7ceeb6 100644
--- a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_dfop_tc_test-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
index 089ab64d..467c3c1a 100644
--- a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/f_parent_mkin_sfo_const-1.png
diff --git a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png
index 849296d9..4d2dc94e 100644
--- a/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png
+++ b/docs/dev/articles/web_only/dimethenamid_2018_files/figure-html/plot_parent_nlme-1.png
diff --git a/docs/dev/authors.html b/docs/dev/authors.html
index 2ed9ea29..60053796 100644
--- a/docs/dev/authors.html
+++ b/docs/dev/authors.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -106,13 +109,13 @@
 
     <p>Ranke J (2022).
 <em>mkin: Kinetic Evaluation of Chemical Degradation Data</em>.
-R package version 1.1.0, <a href="https://pkgdown.jrwb.de/mkin/">https://pkgdown.jrwb.de/mkin/</a>. 
+R package version 1.1.2, <a href="https://pkgdown.jrwb.de/mkin/">https://pkgdown.jrwb.de/mkin/</a>. 
 </p>
     <pre>@Manual{,
   title = {mkin: Kinetic Evaluation of Chemical Degradation Data},
   author = {Johannes Ranke},
   year = {2022},
-  note = {R package version 1.1.0},
+  note = {R package version 1.1.2},
   url = {https://pkgdown.jrwb.de/mkin/},
 }</pre>
 
@@ -127,7 +130,7 @@ R package version 1.1.0, <a href="https://pkgdown.jrwb.de/mkin/">https://pkgdown
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/index.html b/docs/dev/index.html
index 9490235c..7d3abbb2 100644
--- a/docs/dev/index.html
+++ b/docs/dev/index.html
@@ -45,7 +45,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -55,7 +55,7 @@
   <a href="reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -71,6 +71,9 @@
       <a href="articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -120,7 +123,7 @@
 </h2>
 <p>You can install the latest released version from <a href="https://cran.r-project.org/package=mkin" class="external-link">CRAN</a> from within R:</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
-<code class="sourceCode R"><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"mkin"</span><span class="op">)</span></code></pre></div>
+<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"mkin"</span><span class="op">)</span></span></code></pre></div>
 </div>
 <div class="section level2">
 <h2 id="background">Background<a class="anchor" aria-label="anchor" href="#background"></a>
@@ -149,7 +152,7 @@
 <li>The usual one-sided t-test for significant difference from zero is nevertheless shown based on estimators for the untransformed parameters.</li>
 <li>Summary and plotting functions. The <code>summary</code> of an <code>mkinfit</code> object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.</li>
 <li>The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.</li>
-<li>The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) should now be specified as <code>error_model = "obs"</code>.</li>
+<li>The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) can be specified as <code>error_model = "obs"</code>.</li>
 </ul>
 </div>
 <div class="section level3">
@@ -161,7 +164,7 @@
 <li>By default, kinetic rate constants and kinetic formation fractions are transformed internally using <a href="https://pkgdown.jrwb.de/mkin/reference/transform_odeparms.html"><code>transform_odeparms</code></a> so their estimators can more reasonably be expected to follow a normal distribution.</li>
 <li>When parameter estimates are backtransformed to match the model definition, confidence intervals calculated from standard errors are also backtransformed to the correct scale, and will not include meaningless values like negative rate constants or formation fractions adding up to more than 1, which cannot occur in a single experiment with a single defined radiolabel position.</li>
 <li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite. Mathematically, the SFORB model is equivalent to the DFOP model used by other tools for biphasic metabolite curves. However, the SFORB model has the advantage that there is a mechanistic interpretation of the model parameters.</li>
-<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> method. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils).</li>
+<li>Nonlinear mixed-effects models can be created from fits of the same degradation model to different datasets for the same compound by using the <a href="https://pkgdown.jrwb.de/mkin/reference/nlme.mmkin.html">nlme.mmkin</a> and <a href="https://pkgdown.jrwb.de/mkin/reference/saem.html">saem.mmkin</a> and methods. Note that the convergence of the nlme fits depends on the quality of the data. Convergence is better for simple models and data for many groups (e.g. soils). The saem method uses the <code>saemix</code> package as a backend. Analytical solutions suitable for use with this package have been implemented for parent only models and the most important models including one metabolite (SFO-SFO and DFOP-SFO). Fitting other models with <code>saem.mmkin</code>, while it makes use of the compiled ODE models that mkin provides, has longer run times (at least six minutes on my system).</li>
 </ul>
 </div>
 <div class="section level3">
@@ -206,26 +209,18 @@
 <li>Project Number 120667 (Development of objective criteria for the evaluation of the visual fit in the kinetic evaluation of degradation data, 2019-2020)</li>
 <li>Project Number 146839 (Checking the feasibility of using mixed-effects models for the derivation of kinetic modelling parameters from degradation studies, 2020-2021)</li>
 </ul>
+<p>Thanks are due also to Emmanuelle Comets, maintainer of the saemix package, for the nice collaboration on using the SAEM algorithm and its implementation in saemix for the evaluation of chemical degradation data.</p>
 </div>
 <div class="section level2">
 <h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
 </h2>
 <table class="table">
-<tr>
-<td>
-Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. <i>Environments</i> <b>8</b> (8) 71 <a href="https://doi.org/10.3390/environments8080071" class="external-link">doi:10.3390/environments8080071</a>
-</td>
-</tr>
-<tr>
-<td>
-Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data <i>Environments</i> <b>6</b> (12) 124 <a href="https://doi.org/10.3390/environments6120124" class="external-link">doi:10.3390/environments6120124</a>
-</td>
-</tr>
-<tr>
-<td>
-Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic evaluation of chemical degradation data <i>Environmental Sciences Europe</i> <b>30</b> 17 <a href="https://doi.org/10.1186/s12302-018-0145-1" class="external-link">doi:10.1186/s12302-018-0145-1</a>
-</td>
-</tr>
+<tr><td>Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. <i>Environments</i> <b>8</b> (8) 71 <a href="https://doi.org/10.3390/environments8080071" class="external-link">doi:10.3390/environments8080071</a>
+</td></tr>
+<tr><td>Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data <i>Environments</i> <b>6</b> (12) 124 <a href="https://doi.org/10.3390/environments6120124" class="external-link">doi:10.3390/environments6120124</a>
+</td></tr>
+<tr><td>Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic evaluation of chemical degradation data <i>Environmental Sciences Europe</i> <b>30</b> 17 <a href="https://doi.org/10.1186/s12302-018-0145-1" class="external-link">doi:10.1186/s12302-018-0145-1</a>
+</td></tr>
 </table>
 </div>
 <div class="section level2">
@@ -273,6 +268,7 @@ Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic
 <h2 data-toc-skip>Dev status</h2>
 <ul class="list-unstyled">
 <li><a href="https://cran.r-project.org/package=mkin" class="external-link"><img src="https://www.r-pkg.org/badges/version/mkin"></a></li>
+<li><a href="https://jranke.r-universe.dev/ui#package:mkin" class="external-link"><img src="https://jranke.r-universe.dev/badges/mkin" alt="mkin status badge"></a></li>
 <li><a href="https://app.travis-ci.com/github/jranke/mkin" class="external-link"><img src="https://travis-ci.com/jranke/mkin.svg?branch=main" alt="Build Status"></a></li>
 <li><a href="https://codecov.io/github/jranke/mkin" class="external-link"><img src="https://codecov.io/github/jranke/mkin/branch/main/graphs/badge.svg" alt="codecov"></a></li>
 </ul>
@@ -289,7 +285,7 @@ Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic
 
 <div class="pkgdown">
   <p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer>
diff --git a/docs/dev/news/index.html b/docs/dev/news/index.html
index 39e7a52e..b501ed55 100644
--- a/docs/dev/news/index.html
+++ b/docs/dev/news/index.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -79,21 +82,40 @@
     </div>
 
     <div class="section level2">
-<h2 class="page-header" data-toc-text="1.1.0" id="mkin-110-unreleased">mkin 1.1.0 (unreleased)<a class="anchor" aria-label="anchor" href="#mkin-110-unreleased"></a></h2>
+<h2 class="page-header" data-toc-text="1.1.2" id="mkin-112">mkin 1.1.2<a class="anchor" aria-label="anchor" href="#mkin-112"></a></h2>
+<ul><li><p>‘R/mhmkin.R’: New method for performing multiple hierarchical mkin fits in one function call, optionally in parallel.</p></li>
+<li><p>‘R/saem.R’: Implement and test saemix transformations for FOMC and HS. Also, error out if saemix transformations are requested but not supported.</p></li>
+<li><p>‘R/saem.R’: ‘logLik’ and ‘update’ methods for ‘saem.mmkin’ objects.</p></li>
+<li><p>‘R/convergence.R’: New generic to show convergence information with methods for ‘mmkin’ and ‘mhmkin’ objects.</p></li>
+<li><p>‘R/illparms.R’: New generic to show ill-defined parameters with methods for ‘mkinfit’, ‘mmkin’, ‘saem.mmkin’ and ‘mhmkin’ objects.</p></li>
+<li><p>‘R/summary.mmkin.R’: Summary method for mmkin objects.</p></li>
+</ul></div>
+    <div class="section level2">
+<h2 class="page-header" data-toc-text="1.1.1" id="mkin-111-2022-07-12">mkin 1.1.1 (2022-07-12)<a class="anchor" aria-label="anchor" href="#mkin-111-2022-07-12"></a></h2>
+<ul><li><p>’R/{mkinmod,mkinpredict}.R: Store DLL information in mkinmod objects and use that information in mkinpredict to avoid a performance regression brought by a bugfix in R 4.2.x. Thanks to Tomas Kalibera for his analysis of the problem on the r-package-devel list and his suggestion on how to fix it.</p></li>
+<li><p>‘vignettes/FOCUS_L.rmd’: Remove an outdated note referring to a failure to calculate the covariance matrix for DFOP with the L2 dataset. Since 0.9.45.5 the covariance matrix is available</p></li>
+<li><p>‘vignettes/web_only/benchmarks.rmd’: Add the first benchmark data using my laptop system, therefore add the CPU when showing the benchmark results.</p></li>
+<li><p>‘dimethenamid_2018’: Update example code to use saemix</p></li>
+<li><p>‘CAKE_export’: Check for validity of the map argument, updates</p></li>
+<li><p>‘saem()’: Slightly improve speed in the case that no analytical solution for saemix is implemented, activate a test of the respective code</p></li>
+<li><p>‘mean_degparms’: New argument ‘default_log_parms’ that makes it possible to supply a surrogate value (default) for log parameters that fail the t-test</p></li>
+<li><p>‘plot.mixed.mmkin’: Pass the frame argument also to residual plots, take the ‘default_log_parms’ argument for ‘mean_degparms’ used for constructing approximate population curves, plot population curve last to avoid that it is covered by data</p></li>
+<li><p>‘plot.mkinfit’: Respect argument ‘maxabs’ for residual plots, and make it possible to give ylim as a list, for row layouts</p></li>
+</ul></div>
+    <div class="section level2">
+<h2 class="page-header" data-toc-text="1.1.0" id="mkin-110-2022-03-14">mkin 1.1.0 (2022-03-14)<a class="anchor" aria-label="anchor" href="#mkin-110-2022-03-14"></a></h2>
 <div class="section level3">
 <h3 id="mixed-effects-models-1-1-0">Mixed-effects models<a class="anchor" aria-label="anchor" href="#mixed-effects-models-1-1-0"></a></h3>
-<ul><li><p>Introduce an interface to nlmixr, supporting estimation methods ‘saem’ and ‘focei’: S3 method ‘nlmixr.mmkin’ using the helper functions ‘nlmixr_model’ and ‘nlmixr_data’ to set up nlmixr models for mmkin row objects, with summary and plot methods.</p></li>
-<li><p>Reintroduce the interface to saemix (now on CRAN), in particular the generic function ‘saem’ with a generator ‘saem.mmkin’, currently using ‘saemix_model’ and ‘saemix_data’, summary and plot methods</p></li>
+<ul><li><p>Reintroduce the interface to saemix version 3.0 (now on CRAN), in particular the generic function ‘saem’ with a generator ‘saem.mmkin’, currently using ‘saemix_model’ and ‘saemix_data’, summary and plot methods</p></li>
 <li><p>‘mean_degparms’: New argument ‘test_log_parms’ that makes the function only consider log-transformed parameters where the untransformed parameters pass the t-test for a certain confidence level. This can be used to obtain more plausible starting parameters for the different mixed-effects model backends</p></li>
 <li><p>‘plot.mixed.mmkin’: Gains arguments ‘test_log_parms’ and ‘conf.level’</p></li>
 <li><p>‘vignettes/web_only/dimethenamid_2018.rmd’: Example evaluations of the dimethenamid data.</p></li>
-<li><p>‘intervals’: Provide methods of this nlme function for ‘nlmixr.mmkin’ and ‘saem.mmkin’ objects.</p></li>
+<li><p>‘intervals’: Provide a method of this nlme function for ‘saem.mmkin’ objects.</p></li>
 </ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="1.0.5" id="mkin-105-2021-09-15">mkin 1.0.5 (2021-09-15)<a class="anchor" aria-label="anchor" href="#mkin-105-2021-09-15"></a></h2>
-<ul><li>‘dimethenamid_2018’: Correct the data for the Borstel soil. The five observations from Staudenmaier (2013) that were previously stored as “Borstel 2” are actually just a subset of the 16 observations in “Borstel 1” which is now simply “Borstel”</li>
-</ul></div>
+<ul><li>‘dimethenamid_2018’: Correct the data for the Borstel soil. The five observations from Staudenmaier (2013) that were previously stored as “Borstel 2” are actually just a subset of the 16 observations in “Borstel 1” which is now simply “Borstel”</li></ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="1.0.4" id="mkin-104-2021-04-20">mkin 1.0.4 (2021-04-20)<a class="anchor" aria-label="anchor" href="#mkin-104-2021-04-20"></a></h2>
 <ul><li><p>All plotting functions setting graphical parameters: Use on.exit() for resetting graphical parameters</p></li>
@@ -102,12 +124,10 @@
 </ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="1.0.3" id="mkin-103-2021-02-15">mkin 1.0.3 (2021-02-15)<a class="anchor" aria-label="anchor" href="#mkin-103-2021-02-15"></a></h2>
-<ul><li>Review and update README, the ‘Introduction to mkin’ vignette and some of the help pages</li>
-</ul></div>
+<ul><li>Review and update README, the ‘Introduction to mkin’ vignette and some of the help pages</li></ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="1.0.2" id="mkin-102-unreleased">mkin 1.0.2 (Unreleased)<a class="anchor" aria-label="anchor" href="#mkin-102-unreleased"></a></h2>
-<ul><li>‘mkinfit’: Keep model names stored in ‘mkinmod’ objects, avoiding their loss in ‘gmkin’</li>
-</ul></div>
+<ul><li>‘mkinfit’: Keep model names stored in ‘mkinmod’ objects, avoiding their loss in ‘gmkin’</li></ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="1.0.1" id="mkin-101-2021-02-10">mkin 1.0.1 (2021-02-10)<a class="anchor" aria-label="anchor" href="#mkin-101-2021-02-10"></a></h2>
 <ul><li><p>‘confint.mmkin’, ‘nlme.mmkin’, ‘transform_odeparms’: Fix example code in dontrun sections that failed with current defaults</p></li>
@@ -162,8 +182,7 @@
 </ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9.49.11" id="mkin-094911-2020-04-20">mkin 0.9.49.11 (2020-04-20)<a class="anchor" aria-label="anchor" href="#mkin-094911-2020-04-20"></a></h2>
-<ul><li>Increase a test tolerance to make it pass on all CRAN check machines</li>
-</ul></div>
+<ul><li>Increase a test tolerance to make it pass on all CRAN check machines</li></ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9.49.10" id="mkin-094910-2020-04-18">mkin 0.9.49.10 (2020-04-18)<a class="anchor" aria-label="anchor" href="#mkin-094910-2020-04-18"></a></h2>
 <ul><li><p>‘nlme.mmkin’: An nlme method for mmkin row objects and an associated S3 class with print, plot, anova and endpoint methods</p></li>
@@ -278,8 +297,7 @@
 </ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9.46" id="mkin-0946-2017-07-24">mkin 0.9.46 (2017-07-24)<a class="anchor" aria-label="anchor" href="#mkin-0946-2017-07-24"></a></h2>
-<ul><li>Remove <code>test_FOMC_ill-defined.R</code> as it is too platform dependent</li>
-</ul></div>
+<ul><li>Remove <code>test_FOMC_ill-defined.R</code> as it is too platform dependent</li></ul></div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9.45.2" id="mkin-09452-2017-07-24">mkin 0.9.45.2 (2017-07-24)<a class="anchor" aria-label="anchor" href="#mkin-09452-2017-07-24"></a></h2>
 <ul><li><p>Rename <code>twa</code> to <code>max_twa_parent</code> to avoid conflict with <code>twa</code> from my <code>pfm</code> package</p></li>
@@ -291,8 +309,7 @@
 <h2 class="page-header" data-toc-text="0.9.45.1" id="mkin-09451-2016-12-20">mkin 0.9.45.1 (2016-12-20)<a class="anchor" aria-label="anchor" href="#mkin-09451-2016-12-20"></a></h2>
 <div class="section level3">
 <h3 id="new-features-0-9-45-1">New features<a class="anchor" aria-label="anchor" href="#new-features-0-9-45-1"></a></h3>
-<ul><li>A <code>twa</code> function, calculating maximum time weighted average concentrations for the parent (SFO, FOMC and DFOP).</li>
-</ul></div>
+<ul><li>A <code>twa</code> function, calculating maximum time weighted average concentrations for the parent (SFO, FOMC and DFOP).</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9.45" id="mkin-0945-2016-12-08">mkin 0.9.45 (2016-12-08)<a class="anchor" aria-label="anchor" href="#mkin-0945-2016-12-08"></a></h2>
@@ -307,8 +324,7 @@
 <h2 class="page-header" data-toc-text="0.9.44" id="mkin-0944-2016-06-29">mkin 0.9.44 (2016-06-29)<a class="anchor" aria-label="anchor" href="#mkin-0944-2016-06-29"></a></h2>
 <div class="section level3">
 <h3 id="bug-fixes-0-9-44">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-44"></a></h3>
-<ul><li>The test <code>test_FOMC_ill-defined</code> failed on several architectures, so the test is now skipped</li>
-</ul></div>
+<ul><li>The test <code>test_FOMC_ill-defined</code> failed on several architectures, so the test is now skipped</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9.43" id="mkin-0943-2016-06-28">mkin 0.9.43 (2016-06-28)<a class="anchor" aria-label="anchor" href="#mkin-0943-2016-06-28"></a></h2>
@@ -342,8 +358,7 @@
 <h2 class="page-header" data-toc-text="0.9.42" id="mkin-0942-2016-03-25">mkin 0.9.42 (2016-03-25)<a class="anchor" aria-label="anchor" href="#mkin-0942-2016-03-25"></a></h2>
 <div class="section level3">
 <h3 id="major-changes-0-9-42">Major changes<a class="anchor" aria-label="anchor" href="#major-changes-0-9-42"></a></h3>
-<ul><li>Add the argument <code>from_max_mean</code> to <code>mkinfit</code>, for fitting only the decline from the maximum observed value for models with a single observed variable</li>
-</ul></div>
+<ul><li>Add the argument <code>from_max_mean</code> to <code>mkinfit</code>, for fitting only the decline from the maximum observed value for models with a single observed variable</li></ul></div>
 <div class="section level3">
 <h3 id="minor-changes-0-9-42">Minor changes<a class="anchor" aria-label="anchor" href="#minor-changes-0-9-42"></a></h3>
 <ul><li><p>Add plots to <code>compiled_models</code> vignette</p></li>
@@ -363,21 +378,18 @@
 <div class="section level3">
 <h3 id="bug-fixes-0-9-41">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-41"></a></h3>
 <ul><li>
-<code><a href="../reference/summary.mkinfit.html">print.summary.mkinfit()</a></code>: Avoid an error that occurred when printing summaries generated with mkin versions before 0.9-36</li>
-</ul></div>
+<code><a href="../reference/summary.mkinfit.html">print.summary.mkinfit()</a></code>: Avoid an error that occurred when printing summaries generated with mkin versions before 0.9-36</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9-40" id="mkin-09-40-2015-07-21">mkin 0.9-40 (2015-07-21)<a class="anchor" aria-label="anchor" href="#mkin-09-40-2015-07-21"></a></h2>
 <div class="section level3">
 <h3 id="bug-fixes-0-9-40">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-40"></a></h3>
 <ul><li>
-<code><a href="../reference/endpoints.html">endpoints()</a></code>: For DFOP and SFORB models, where <code><a href="https://rdrr.io/r/stats/optimize.html" class="external-link">optimize()</a></code> is used, make use of the fact that the DT50 must be between DT50_k1 and DT50_k2 (DFOP) or DT50_b1 and DT50_b2 (SFORB), as <code><a href="https://rdrr.io/r/stats/optimize.html" class="external-link">optimize()</a></code> sometimes did not find the minimum. Likewise for finding DT90 values. Also fit on the log scale to make the function more efficient.</li>
-</ul></div>
+<code><a href="../reference/endpoints.html">endpoints()</a></code>: For DFOP and SFORB models, where <code><a href="https://rdrr.io/r/stats/optimize.html" class="external-link">optimize()</a></code> is used, make use of the fact that the DT50 must be between DT50_k1 and DT50_k2 (DFOP) or DT50_b1 and DT50_b2 (SFORB), as <code><a href="https://rdrr.io/r/stats/optimize.html" class="external-link">optimize()</a></code> sometimes did not find the minimum. Likewise for finding DT90 values. Also fit on the log scale to make the function more efficient.</li></ul></div>
 <div class="section level3">
 <h3 id="internal-changes-0-9-40">Internal changes<a class="anchor" aria-label="anchor" href="#internal-changes-0-9-40"></a></h3>
 <ul><li>
-<code>DESCRIPTION</code>, <code>NAMESPACE</code>, <code>R/*.R</code>: Import (from) stats, graphics and methods packages, and qualify some function calls for non-base packages installed with R to avoid NOTES made by R CMD check –as-cran with upcoming R versions.</li>
-</ul></div>
+<code>DESCRIPTION</code>, <code>NAMESPACE</code>, <code>R/*.R</code>: Import (from) stats, graphics and methods packages, and qualify some function calls for non-base packages installed with R to avoid NOTES made by R CMD check –as-cran with upcoming R versions.</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9-39" id="mkin-09-39-2015-06-26">mkin 0.9-39 (2015-06-26)<a class="anchor" aria-label="anchor" href="#mkin-09-39-2015-06-26"></a></h2>
@@ -389,8 +401,7 @@
 <div class="section level3">
 <h3 id="bug-fixes-0-9-39">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-39"></a></h3>
 <ul><li>
-<code><a href="../reference/mkinparplot.html">mkinparplot()</a></code>: Fix the x axis scaling for rate constants and formation fractions that got confused by the introduction of the t-values of transformed parameters.</li>
-</ul></div>
+<code><a href="../reference/mkinparplot.html">mkinparplot()</a></code>: Fix the x axis scaling for rate constants and formation fractions that got confused by the introduction of the t-values of transformed parameters.</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9-38" id="mkin-09-38-2015-06-24">mkin 0.9-38 (2015-06-24)<a class="anchor" aria-label="anchor" href="#mkin-09-38-2015-06-24"></a></h2>
@@ -402,8 +413,7 @@
 <div class="section level3">
 <h3 id="bug-fixes-0-9-38">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-38"></a></h3>
 <ul><li>
-<code><a href="../reference/mkinmod.html">mkinmod()</a></code>: When generating the C code for the derivatives, only declare the time variable when it is needed and remove the ‘-W-no-unused-variable’ compiler flag as the C compiler used in the CRAN checks on Solaris does not know it.</li>
-</ul></div>
+<code><a href="../reference/mkinmod.html">mkinmod()</a></code>: When generating the C code for the derivatives, only declare the time variable when it is needed and remove the ‘-W-no-unused-variable’ compiler flag as the C compiler used in the CRAN checks on Solaris does not know it.</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9-36" id="mkin-09-36-2015-06-21">mkin 0.9-36 (2015-06-21)<a class="anchor" aria-label="anchor" href="#mkin-09-36-2015-06-21"></a></h2>
@@ -416,15 +426,13 @@
 </ul></div>
 <div class="section level3">
 <h3 id="minor-changes-0-9-36">Minor changes<a class="anchor" aria-label="anchor" href="#minor-changes-0-9-36"></a></h3>
-<ul><li>Added a simple showcase vignette with an evaluation of FOCUS example dataset D</li>
-</ul></div>
+<ul><li>Added a simple showcase vignette with an evaluation of FOCUS example dataset D</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9-35" id="mkin-09-35-2015-05-15">mkin 0.9-35 (2015-05-15)<a class="anchor" aria-label="anchor" href="#mkin-09-35-2015-05-15"></a></h2>
 <div class="section level3">
 <h3 id="major-changes-0-9-35">Major changes<a class="anchor" aria-label="anchor" href="#major-changes-0-9-35"></a></h3>
-<ul><li>Switch from RUnit to testthat for testing</li>
-</ul></div>
+<ul><li>Switch from RUnit to testthat for testing</li></ul></div>
 <div class="section level3">
 <h3 id="bug-fixes-0-9-35">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-35"></a></h3>
 <ul><li><p><code><a href="../reference/mkinparplot.html">mkinparplot()</a></code>: Avoid warnings that occurred when not all confidence intervals were available in the summary of the fit</p></li>
@@ -506,15 +514,13 @@
 <h2 class="page-header" data-toc-text="0.9-31" id="mkin-09-31-2014-07-14">mkin 0.9-31 (2014-07-14)<a class="anchor" aria-label="anchor" href="#mkin-09-31-2014-07-14"></a></h2>
 <div class="section level3">
 <h3 id="bug-fixes-0-9-31">Bug fixes<a class="anchor" aria-label="anchor" href="#bug-fixes-0-9-31"></a></h3>
-<ul><li>The internal renaming of optimised parameters in Version 0.9-30 led to errors in the determination of the degrees of freedom for the chi2 error level calulations in <code><a href="../reference/mkinerrmin.html">mkinerrmin()</a></code> used by the summary function.</li>
-</ul></div>
+<ul><li>The internal renaming of optimised parameters in Version 0.9-30 led to errors in the determination of the degrees of freedom for the chi2 error level calulations in <code><a href="../reference/mkinerrmin.html">mkinerrmin()</a></code> used by the summary function.</li></ul></div>
 </div>
     <div class="section level2">
 <h2 class="page-header" data-toc-text="0.9-30" id="mkin-09-30-2014-07-11">mkin 0.9-30 (2014-07-11)<a class="anchor" aria-label="anchor" href="#mkin-09-30-2014-07-11"></a></h2>
 <div class="section level3">
 <h3 id="new-features-0-9-30">New features<a class="anchor" aria-label="anchor" href="#new-features-0-9-30"></a></h3>
-<ul><li>It is now possible to use formation fractions in combination with turning off the sink in <code><a href="../reference/mkinmod.html">mkinmod()</a></code>.</li>
-</ul></div>
+<ul><li>It is now possible to use formation fractions in combination with turning off the sink in <code><a href="../reference/mkinmod.html">mkinmod()</a></code>.</li></ul></div>
 <div class="section level3">
 <h3 id="major-changes-0-9-30">Major changes<a class="anchor" aria-label="anchor" href="#major-changes-0-9-30"></a></h3>
 <ul><li><p>The original and the transformed parameters now have different names (e.g. <code>k_parent</code> and <code>log_k_parent</code>. They also differ in how many they are when we have formation fractions but no pathway to sink.</p></li>
@@ -597,7 +603,7 @@
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml
index b5257483..1cd870ba 100644
--- a/docs/dev/pkgdown.yml
+++ b/docs/dev/pkgdown.yml
@@ -1,5 +1,5 @@
 pandoc: 2.9.2.1
-pkgdown: 2.0.2
+pkgdown: 2.0.6
 pkgdown_sha: ~
 articles:
   FOCUS_D: FOCUS_D.html
@@ -11,7 +11,7 @@ articles:
   benchmarks: web_only/benchmarks.html
   compiled_models: web_only/compiled_models.html
   dimethenamid_2018: web_only/dimethenamid_2018.html
-last_built: 2022-02-28T14:05Z
+last_built: 2022-08-10T13:10Z
 urls:
   reference: https://pkgdown.jrwb.de/mkin/reference
   article: https://pkgdown.jrwb.de/mkin/articles
diff --git a/docs/dev/reference/CAKE_export.html b/docs/dev/reference/CAKE_export.html
index e187772f..47efd056 100644
--- a/docs/dev/reference/CAKE_export.html
+++ b/docs/dev/reference/CAKE_export.html
@@ -1,68 +1,13 @@
-<!-- Generated by pkgdown: do not edit by hand -->
 <!DOCTYPE html>
-<html lang="en">
-  <head>
-  <meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-
-<title>Export a list of datasets format to a CAKE study file — CAKE_export • mkin</title>
-
-
-<!-- jquery -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
-<!-- Bootstrap -->
-
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
-
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
-
-<!-- bootstrap-toc -->
-<link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script>
-
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-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
-
-<!-- clipboard.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
-
-<!-- headroom.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
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-<link href="../pkgdown.css" rel="stylesheet">
-<script src="../pkgdown.js"></script>
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-
-<meta property="og:title" content="Export a list of datasets format to a CAKE study file — CAKE_export" />
-<meta property="og:description" content="In addition to the datasets, the pathways in the degradation model can be
-specified as well." />
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-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
-
-<!--[if lt IE 9]>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Export a list of datasets format to a CAKE study file — CAKE_export • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Export a list of datasets format to a CAKE study file — CAKE_export"><meta property="og:description" content="In addition to the datasets, the pathways in the degradation model can be
+specified as well."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
-
+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
-
-  </head>
-
-  <body data-spy="scroll" data-target="#toc">
     <div class="container template-reference-topic">
-      <header>
-      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
     <div class="navbar-header">
       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -73,23 +18,21 @@ specified as well." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
     <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
   </a>
-  <ul class="dropdown-menu" role="menu">
-    <li>
+  <ul class="dropdown-menu" role="menu"><li>
       <a href="../articles/mkin.html">Introduction to mkin</a>
     </li>
     <li>
@@ -99,6 +42,9 @@ specified as well." />
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -113,34 +59,27 @@ specified as well." />
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
-  </ul>
-</li>
+  </ul></li>
 <li>
   <a href="../news/index.html">News</a>
 </li>
-      </ul>
-      <ul class="nav navbar-nav navbar-right">
-        <li>
-  <a href="https://github.com/jranke/mkin/">
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
-      </ul>
-      
-    </div><!--/.nav-collapse -->
+      </ul></div><!--/.nav-collapse -->
   </div><!--/.container -->
 </div><!--/.navbar -->
 
       
 
-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Export a list of datasets format to a CAKE study file</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/CAKE_export.R'><code>R/CAKE_export.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/CAKE_export.R" class="external-link"><code>R/CAKE_export.R</code></a></small>
     <div class="hidden name"><code>CAKE_export.Rd</code></div>
     </div>
 
@@ -149,116 +88,115 @@ specified as well." />
 specified as well.</p>
     </div>
 
-    <pre class="usage"><span class='fu'>CAKE_export</span><span class='op'>(</span>
-  <span class='va'>ds</span>,
-  map <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='st'>"Parent"</span><span class='op'>)</span>,
-  links <span class='op'>=</span> <span class='cn'>NA</span>,
-  filename <span class='op'>=</span> <span class='st'>"CAKE_export.csf"</span>,
-  path <span class='op'>=</span> <span class='st'>"."</span>,
-  overwrite <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  study <span class='op'>=</span> <span class='st'>"Codlemone aerobic soil degradation"</span>,
-  description <span class='op'>=</span> <span class='st'>""</span>,
-  time_unit <span class='op'>=</span> <span class='st'>"days"</span>,
-  res_unit <span class='op'>=</span> <span class='st'>"% AR"</span>,
-  comment <span class='op'>=</span> <span class='st'>"Created using mkin::CAKE_export"</span>,
-  date <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Sys.time.html'>Sys.Date</a></span><span class='op'>(</span><span class='op'>)</span>,
-  optimiser <span class='op'>=</span> <span class='st'>"IRLS"</span>
-<span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>ds</th>
-      <td><p>A named list of datasets in long format as compatible with
-<code><a href='mkinfit.html'>mkinfit</a></code>.</p></td>
-    </tr>
-    <tr>
-      <th>map</th>
-      <td><p>A character vector with CAKE compartment names (Parent, A1, ...),
-named with the names used in the list of datasets.</p></td>
-    </tr>
-    <tr>
-      <th>links</th>
-      <td><p>An optional character vector of target compartments, named with
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">CAKE_export</span><span class="op">(</span></span>
+<span>  <span class="va">ds</span>,</span>
+<span>  map <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="st">"Parent"</span><span class="op">)</span>,</span>
+<span>  links <span class="op">=</span> <span class="cn">NA</span>,</span>
+<span>  filename <span class="op">=</span> <span class="st">"CAKE_export.csf"</span>,</span>
+<span>  path <span class="op">=</span> <span class="st">"."</span>,</span>
+<span>  overwrite <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  study <span class="op">=</span> <span class="st">"Degradinol aerobic soil degradation"</span>,</span>
+<span>  description <span class="op">=</span> <span class="st">""</span>,</span>
+<span>  time_unit <span class="op">=</span> <span class="st">"days"</span>,</span>
+<span>  res_unit <span class="op">=</span> <span class="st">"% AR"</span>,</span>
+<span>  comment <span class="op">=</span> <span class="st">""</span>,</span>
+<span>  date <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Sys.time.html" class="external-link">Sys.Date</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  optimiser <span class="op">=</span> <span class="st">"IRLS"</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>ds</dt>
+<dd><p>A named list of datasets in long format as compatible with
+<code><a href="mkinfit.html">mkinfit</a></code>.</p></dd>
+
+
+<dt>map</dt>
+<dd><p>A character vector with CAKE compartment names (Parent, A1, ...),
+named with the names used in the list of datasets.</p></dd>
+
+
+<dt>links</dt>
+<dd><p>An optional character vector of target compartments, named with
 the names of the source compartments. In order to make this easier, the
-names are used as in the datasets supplied.</p></td>
-    </tr>
-    <tr>
-      <th>filename</th>
-      <td><p>Where to write the result. Should end in .csf in order to be
-compatible with CAKE.</p></td>
-    </tr>
-    <tr>
-      <th>path</th>
-      <td><p>An optional path to the output file.</p></td>
-    </tr>
-    <tr>
-      <th>overwrite</th>
-      <td><p>If TRUE, existing files are overwritten.</p></td>
-    </tr>
-    <tr>
-      <th>study</th>
-      <td><p>The name of the study.</p></td>
-    </tr>
-    <tr>
-      <th>description</th>
-      <td><p>An optional description.</p></td>
-    </tr>
-    <tr>
-      <th>time_unit</th>
-      <td><p>The time unit for the residue data.</p></td>
-    </tr>
-    <tr>
-      <th>res_unit</th>
-      <td><p>The unit used for the residues.</p></td>
-    </tr>
-    <tr>
-      <th>comment</th>
-      <td><p>An optional comment.</p></td>
-    </tr>
-    <tr>
-      <th>date</th>
-      <td><p>The date of file creation.</p></td>
-    </tr>
-    <tr>
-      <th>optimiser</th>
-      <td><p>Can be OLS or IRLS.</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>The function is called for its side effect.</p>
-    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
+names are used as in the datasets supplied.</p></dd>
+
+
+<dt>filename</dt>
+<dd><p>Where to write the result. Should end in .csf in order to be
+compatible with CAKE.</p></dd>
+
+
+<dt>path</dt>
+<dd><p>An optional path to the output file.</p></dd>
+
+
+<dt>overwrite</dt>
+<dd><p>If TRUE, existing files are overwritten.</p></dd>
+
+
+<dt>study</dt>
+<dd><p>The name of the study.</p></dd>
+
+
+<dt>description</dt>
+<dd><p>An optional description.</p></dd>
+
 
+<dt>time_unit</dt>
+<dd><p>The time unit for the residue data.</p></dd>
+
+
+<dt>res_unit</dt>
+<dd><p>The unit used for the residues.</p></dd>
+
+
+<dt>comment</dt>
+<dd><p>An optional comment.</p></dd>
+
+
+<dt>date</dt>
+<dd><p>The date of file creation.</p></dd>
+
+
+<dt>optimiser</dt>
+<dd><p>Can be OLS or IRLS.</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>The function is called for its side effect.</p>
+    </div>
+    <div id="author">
+    <h2>Author</h2>
     <p>Johannes Ranke</p>
+    </div>
 
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
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-      <h2 data-toc-skip>Contents</h2>
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+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
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+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
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 published by EFSA. Kinetic evaluations shown for these datasets are intended
 to illustrate and advance kinetic modelling. The fact that these data and
 some results are shown here does not imply a license to use them in the
 context of pesticide  registrations, as the use of the data may be
-constrained by data protection regulations." />
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@@ -103,6 +46,9 @@ constrained by data protection regulations." />
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+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
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@@ -117,34 +63,27 @@ constrained by data protection regulations." />
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   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Aerobic soil degradation data on 2,4-D from the EU assessment in 2014</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/D24_2014.R'><code>R/D24_2014.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/D24_2014.R" class="external-link"><code>R/D24_2014.R</code></a></small>
     <div class="hidden name"><code>D24_2014.Rd</code></div>
     </div>
 
@@ -157,20 +96,23 @@ context of pesticide  registrations, as the use of the data may be
 constrained by data protection regulations.</p>
     </div>
 
-    <pre class="usage"><span class='va'>D24_2014</span></pre>
-
-
-    <h2 class="hasAnchor" id="format"><a class="anchor" href="#format"></a>Format</h2>
-
-    <p>An <a href='mkindsg.html'>mkindsg</a> object grouping five datasets</p>
-    <h2 class="hasAnchor" id="source"><a class="anchor" href="#source"></a>Source</h2>
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="va">D24_2014</span></span></code></pre></div>
+    </div>
 
+    <div id="format">
+    <h2>Format</h2>
+    <p>An <a href="mkindsg.html">mkindsg</a> object grouping five datasets</p>
+    </div>
+    <div id="source">
+    <h2>Source</h2>
     <p>Hellenic Ministry of Rural Development and Agriculture (2014)
 Final addendum to the Renewal Assessment Report - public version - 2,4-D
 Volume 3 Annex B.8 Fate and behaviour in the environment
-<a href='http://registerofquestions.efsa.europa.eu/roqFrontend/outputLoader?output=ON-3812'>http://registerofquestions.efsa.europa.eu/roqFrontend/outputLoader?output=ON-3812</a></p>
-    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
-
+<a href="https://open.efsa.europa.eu/study-inventory/EFSA-Q-2013-00811" class="external-link">https://open.efsa.europa.eu/study-inventory/EFSA-Q-2013-00811</a></p>
+    </div>
+    <div id="details">
+    <h2>Details</h2>
     <p>Data for the first dataset are from p. 685. Data for the other four
 datasets were used in the preprocessed versions given in the kinetics
 section (p. 761ff.), with the exception of residues smaller than 1 for DCP
@@ -178,114 +120,119 @@ in the soil from Site I2, where the values given on p. 694 were used.</p>
 <p>The R code used to create this data object is installed with this package
 in the 'dataset_generation' directory. In the code, page numbers are given for
 specific pieces of information in the comments.</p>
+    </div>
 
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>D24_2014</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
-#&gt; Title $title:  Aerobic soil degradation data on 2,4-D from the EU assessment in 2014 
-#&gt; Occurrence of observed compounds $observed_n:
-#&gt; D24 DCP DCA 
-#&gt;   5   4   4 
-#&gt; Time normalisation factors $f_time_norm:
-#&gt; [1] 1.6062378 0.7118732 0.7156063 0.7156063 0.8977124
-#&gt; Meta information $meta:
-#&gt;                                 study usda_soil_type study_moisture_ref_type
-#&gt; Mississippi                Cohen 1991      Silt loam                    &lt;NA&gt;
-#&gt; Fayette     Liu and Adelfinskaya 2011      Silt loam                     pF1
-#&gt; RefSol 03-G Liu and Adelfinskaya 2011           Loam                     pF1
-#&gt; Site E1     Liu and Adelfinskaya 2011           Loam                     pF1
-#&gt; Site I2     Liu and Adelfinskaya 2011     Loamy sand                     pF1
-#&gt;             rel_moisture temperature
-#&gt; Mississippi           NA          25
-#&gt; Fayette              0.5          20
-#&gt; RefSol 03-G          0.5          20
-#&gt; Site E1              0.5          20
-#&gt; Site I2              0.5          20</div><div class='input'><span class='co'># \dontrun{</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>D24_2014</span><span class='op'>$</span><span class='va'>ds</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkinds&gt; with $title:  Mississippi 
-#&gt; Observed compounds $observed:  D24 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 2, 4, 7, 15, 24, 35, 56, 71, 114, 183, 273, 365 
-#&gt; With a maximum of  1  replicates
-#&gt;    time  D24
-#&gt; 1     0 96.8
-#&gt; 2     2 81.0
-#&gt; 3     4 81.7
-#&gt; 4     7 88.2
-#&gt; 5    15 66.3
-#&gt; 6    24 72.9
-#&gt; 7    35 62.6
-#&gt; 8    56 54.6
-#&gt; 9    71 35.2
-#&gt; 10  114 18.0
-#&gt; 11  183 11.3
-#&gt; 12  273  9.9
-#&gt; 13  365  6.3</div><div class='input'><span class='va'>m_D24</span> <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>D24 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"DCP"</span><span class='op'>)</span>,
-  DCP <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"DCA"</span><span class='op'>)</span>,
-  DCA <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>m_D24</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkinmod&gt; model generated with
-#&gt; Use of formation fractions $use_of_ff: max 
-#&gt; Specification $spec:
-#&gt; $D24
-#&gt; $type: SFO; $to: DCP; $sink: TRUE
-#&gt; $DCP
-#&gt; $type: SFO; $to: DCA; $sink: TRUE
-#&gt; $DCA
-#&gt; $type: SFO; $sink: TRUE
-#&gt; Coefficient matrix $coefmat available
-#&gt; Compiled model $cf available
-#&gt; Differential equations:
-#&gt; d_D24/dt = - k_D24 * D24
-#&gt; d_DCP/dt = + f_D24_to_DCP * k_D24 * D24 - k_DCP * DCP
-#&gt; d_DCA/dt = + f_DCP_to_DCA * k_DCP * DCP - k_DCA * DCA</div><div class='input'><span class='va'>m_D24_2</span> <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>D24 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"DFOP"</span>, to <span class='op'>=</span> <span class='st'>"DCP"</span><span class='op'>)</span>,
-  DCP <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, to <span class='op'>=</span> <span class='st'>"DCA"</span><span class='op'>)</span>,
-  DCA <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>m_D24_2</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkinmod&gt; model generated with
-#&gt; Use of formation fractions $use_of_ff: max 
-#&gt; Specification $spec:
-#&gt; $D24
-#&gt; $type: DFOP; $to: DCP; $sink: TRUE
-#&gt; $DCP
-#&gt; $type: SFO; $to: DCA; $sink: TRUE
-#&gt; $DCA
-#&gt; $type: SFO; $sink: TRUE
-#&gt; Compiled model $cf available
-#&gt; Differential equations:
-#&gt; d_D24/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-#&gt;            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-#&gt;            * D24
-#&gt; d_DCP/dt = + f_D24_to_DCP * ((k1 * g * exp(-k1 * time) + k2 * (1 - g) *
-#&gt;            exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2
-#&gt;            * time))) * D24 - k_DCP * DCP
-#&gt; d_DCA/dt = + f_DCP_to_DCA * k_DCP * DCP - k_DCA * DCA</div><div class='input'><span class='co'># }</span>
-</div></pre>
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">D24_2014</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkindsg&gt; holding 5 mkinds objects</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Title $title:  Aerobic soil degradation data on 2,4-D from the EU assessment in 2014 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Occurrence of observed compounds $observed_n:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> D24 DCP DCA </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   5   4   4 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time normalisation factors $f_time_norm:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.6062378 0.7118732 0.7156063 0.7156063 0.8977124</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Meta information $meta:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                                 study usda_soil_type study_moisture_ref_type</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Mississippi                Cohen 1991      Silt loam                    &lt;NA&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fayette     Liu and Adelfinskaya 2011      Silt loam                     pF1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> RefSol 03-G Liu and Adelfinskaya 2011           Loam                     pF1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Site E1     Liu and Adelfinskaya 2011           Loam                     pF1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Site I2     Liu and Adelfinskaya 2011     Loamy sand                     pF1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>             rel_moisture temperature</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Mississippi           NA          25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fayette              0.5          20</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> RefSol 03-G          0.5          20</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Site E1              0.5          20</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Site I2              0.5          20</span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">D24_2014</span><span class="op">$</span><span class="va">ds</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Mississippi </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  D24 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 2, 4, 7, 15, 24, 35, 56, 71, 114, 183, 273, 365 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  1  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    time  D24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     0 96.8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     2 81.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     4 81.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4     7 88.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5    15 66.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6    24 72.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7    35 62.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8    56 54.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9    71 35.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10  114 18.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11  183 11.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12  273  9.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13  365  6.3</span>
+<span class="r-in"><span><span class="va">m_D24</span> <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>D24 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"DCP"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  DCP <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"DCA"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  DCA <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">m_D24</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinmod&gt; model generated with</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Use of formation fractions $use_of_ff: max </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Specification $spec:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $D24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $type: SFO; $to: DCP; $sink: TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $DCP</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $type: SFO; $to: DCA; $sink: TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $DCA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $type: SFO; $sink: TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Coefficient matrix $coefmat available</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Compiled model $cf available</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Differential equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_D24/dt = - k_D24 * D24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_DCP/dt = + f_D24_to_DCP * k_D24 * D24 - k_DCP * DCP</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_DCA/dt = + f_DCP_to_DCA * k_DCP * DCP - k_DCA * DCA</span>
+<span class="r-in"><span><span class="va">m_D24_2</span> <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>D24 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, to <span class="op">=</span> <span class="st">"DCP"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  DCP <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, to <span class="op">=</span> <span class="st">"DCA"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  DCA <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">m_D24_2</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinmod&gt; model generated with</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Use of formation fractions $use_of_ff: max </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Specification $spec:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $D24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $type: DFOP; $to: DCP; $sink: TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $DCP</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $type: SFO; $to: DCA; $sink: TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $DCA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $type: SFO; $sink: TRUE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Compiled model $cf available</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Differential equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_D24/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * D24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_DCP/dt = + f_D24_to_DCP * ((k1 * g * exp(-k1 * time) + k2 * (1 - g) *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * time))) * D24 - k_DCP * DCP</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_DCA/dt = + f_DCP_to_DCA * k_DCP * DCP - k_DCA * DCA</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
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@@ -0,0 +1,163 @@
+<!DOCTYPE html>
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+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Method to get convergence information</h1>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/convergence.R" class="external-link"><code>R/convergence.R</code></a></small>
+    <div class="hidden name"><code>convergence.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>Method to get convergence information</p>
+    </div>
+
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">convergence</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for mmkin</span></span>
+<span><span class="fu">convergence</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for convergence.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>object</dt>
+<dd><p>The object to investigate</p></dd>
+
+
+<dt>...</dt>
+<dd><p>For potential future extensions</p></dd>
+
+
+<dt>x</dt>
+<dd><p>The object to be printed</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>For <a href="mkinfit.html">mkinfit</a> objects, a character vector containing
+For <a href="mmkin.html">mmkin</a> objects, an object of class 'convergence.mmkin' with a
+suitable printing method.</p>
+    </div>
+
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS A"</span> <span class="op">=</span> <span class="va">FOCUS_2006_A</span>,</span></span>
+<span class="r-in"><span>       <span class="st">"FOCUS B"</span> <span class="op">=</span> <span class="va">FOCUS_2006_C</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">convergence</span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       dataset</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> model  FOCUS A FOCUS B</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   SFO  OK      OK     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   FOMC OK      OK     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> OK: No warnings</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
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+</div>
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+
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index 65a682bb..5d5870fe 100644
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+++ b/docs/dev/reference/create_deg_func.html
@@ -1,67 +1,12 @@
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-<![endif]-->
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+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
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   <div class="container">
     <div class="navbar-header">
       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -72,23 +17,21 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
     <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
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+  <ul class="dropdown-menu" role="menu"><li>
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@@ -98,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
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+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -112,34 +58,27 @@
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
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+  </ul></li>
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-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Create degradation functions for known analytical solutions</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/create_deg_func.R'><code>R/create_deg_func.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/create_deg_func.R" class="external-link"><code>R/create_deg_func.R</code></a></small>
     <div class="hidden name"><code>create_deg_func.Rd</code></div>
     </div>
 
@@ -147,83 +86,88 @@
     <p>Create degradation functions for known analytical solutions</p>
     </div>
 
-    <pre class="usage"><span class='fu'>create_deg_func</span><span class='op'>(</span><span class='va'>spec</span>, use_of_ff <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"min"</span>, <span class='st'>"max"</span><span class='op'>)</span><span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>spec</th>
-      <td><p>List of model specifications as contained in mkinmod objects</p></td>
-    </tr>
-    <tr>
-      <th>use_of_ff</th>
-      <td><p>Minimum or maximum use of formation fractions</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>Degradation function to be attached to mkinmod objects</p>
-
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-<span class='va'>SFO_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
-  parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span><span class='op'>)</span>,
-  m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>FOCUS_D</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span> <span class='co'># to avoid warnings</span>
-<span class='va'>fit_1</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"analytical"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-<span class='va'>fit_2</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-<span class='co'># \dontrun{</span>
-<span class='kw'>if</span> <span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='va'><a href='http://rbenchmark.googlecode.com'>rbenchmark</a></span><span class='op'>)</span><span class='op'>)</span>
-  <span class='fu'><a href='https://rdrr.io/pkg/rbenchmark/man/benchmark.html'>benchmark</a></span><span class='op'>(</span>
-    analytical <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"analytical"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
-    deSolve <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
-    replications <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Loading required package: rbenchmark</span></div><div class='output co'>#&gt;         test replications elapsed relative user.self sys.self user.child
-#&gt; 1 analytical            2   0.396     1.00     0.396        0          0
-#&gt; 2    deSolve            2   0.709     1.79     0.707        0          0
-#&gt;   sys.child
-#&gt; 1         0
-#&gt; 2         0</div><div class='input'>  <span class='va'>DFOP_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
-    parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"DFOP"</span>, <span class='st'>"m1"</span><span class='op'>)</span>,
-    m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>  <span class='fu'><a href='https://rdrr.io/pkg/rbenchmark/man/benchmark.html'>benchmark</a></span><span class='op'>(</span>
-    analytical <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>DFOP_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"analytical"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
-    deSolve <span class='op'>=</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>DFOP_SFO</span>, <span class='va'>FOCUS_D</span>, solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
-    replications <span class='op'>=</span> <span class='fl'>2</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;         test replications elapsed relative user.self sys.self user.child
-#&gt; 1 analytical            2   0.844    1.000     0.844        0          0
-#&gt; 2    deSolve            2   1.624    1.924     1.624        0          0
-#&gt;   sys.child
-#&gt; 1         0
-#&gt; 2         0</div><div class='input'><span class='co'># }</span>
-</div></pre>
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">create_deg_func</span><span class="op">(</span><span class="va">spec</span>, use_of_ff <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"min"</span>, <span class="st">"max"</span><span class="op">)</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>spec</dt>
+<dd><p>List of model specifications as contained in mkinmod objects</p></dd>
+
+
+<dt>use_of_ff</dt>
+<dd><p>Minimum or maximum use of formation fractions</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>Degradation function to be attached to mkinmod objects</p>
+    </div>
+
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">SFO_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span><span class="va">FOCUS_D</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">FOCUS_2006_D</span>, <span class="va">value</span> <span class="op">!=</span> <span class="fl">0</span><span class="op">)</span> <span class="co"># to avoid warnings</span></span></span>
+<span class="r-in"><span><span class="va">fit_1</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, solution_type <span class="op">=</span> <span class="st">"analytical"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">fit_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, solution_type <span class="op">=</span> <span class="st">"deSolve"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="http://rbenchmark.googlecode.com" class="external-link">rbenchmark</a></span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/rbenchmark/man/benchmark.html" class="external-link">benchmark</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>    analytical <span class="op">=</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, solution_type <span class="op">=</span> <span class="st">"analytical"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    deSolve <span class="op">=</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, solution_type <span class="op">=</span> <span class="st">"deSolve"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    replications <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Loading required package: rbenchmark</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         test replications elapsed relative user.self sys.self user.child</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 analytical            2   0.401    1.000     0.401        0          0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2    deSolve            2   0.654    1.631     0.654        0          0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   sys.child</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1         0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2         0</span>
+<span class="r-in"><span>  <span class="va">DFOP_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>    parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/rbenchmark/man/benchmark.html" class="external-link">benchmark</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>    analytical <span class="op">=</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">DFOP_SFO</span>, <span class="va">FOCUS_D</span>, solution_type <span class="op">=</span> <span class="st">"analytical"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    deSolve <span class="op">=</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">DFOP_SFO</span>, <span class="va">FOCUS_D</span>, solution_type <span class="op">=</span> <span class="st">"deSolve"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    replications <span class="op">=</span> <span class="fl">2</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         test replications elapsed relative user.self sys.self user.child</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 analytical            2   0.843    1.000     0.843        0          0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2    deSolve            2   1.445    1.714     1.445        0          0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   sys.child</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1         0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2         0</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
-      </footer>
-   </div>
+      </footer></div>
 
   
 
 
-  </body>
-</html>
+  
 
+  </body></html>
 
diff --git a/docs/dev/reference/dimethenamid_2018-1.png b/docs/dev/reference/dimethenamid_2018-1.png
index b8c5355f..4300b0c0 100644
--- a/docs/dev/reference/dimethenamid_2018-1.png
+++ b/docs/dev/reference/dimethenamid_2018-1.png
diff --git a/docs/dev/reference/dimethenamid_2018-2.png b/docs/dev/reference/dimethenamid_2018-2.png
index 3b8a123b..36db063c 100644
--- a/docs/dev/reference/dimethenamid_2018-2.png
+++ b/docs/dev/reference/dimethenamid_2018-2.png
diff --git a/docs/dev/reference/dimethenamid_2018-3.png b/docs/dev/reference/dimethenamid_2018-3.png
new file mode 100644
index 00000000..7c876208
--- /dev/null
+++ b/docs/dev/reference/dimethenamid_2018-3.png
diff --git a/docs/dev/reference/dimethenamid_2018.html b/docs/dev/reference/dimethenamid_2018.html
index 5fb94988..7a356284 100644
--- a/docs/dev/reference/dimethenamid_2018.html
+++ b/docs/dev/reference/dimethenamid_2018.html
@@ -22,7 +22,7 @@ constrained by data protection regulations."><meta name="robots" content="noinde
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -31,7 +31,7 @@ constrained by data protection regulations."><meta name="robots" content="noinde
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -46,6 +46,9 @@ constrained by data protection regulations."><meta name="robots" content="noinde
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -94,7 +97,7 @@ constrained by data protection regulations.</p>
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="va">dimethenamid_2018</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="va">dimethenamid_2018</span></span></code></pre></div>
     </div>
 
     <div id="format">
@@ -117,7 +120,7 @@ specific pieces of information in the comments.</p>
 
     <div id="ref-examples">
     <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkindsg&gt; holding 7 mkinds objects</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Title $title:  Aerobic soil degradation data on dimethenamid-P from the EU assessment in 2018 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Occurrence of observed compounds $observed_n:</span>
@@ -142,296 +145,168 @@ specific pieces of information in the comments.</p>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Flaach                   NA          20</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> BBA 2.2                  NA          20</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> BBA 2.3                  NA          20</span>
-<span class="r-in"><span class="va">dmta_ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">7</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span></span>
-<span class="r-in">  <span class="va">ds_i</span> <span class="op">&lt;-</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span><span class="op">[[</span><span class="va">i</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span></span>
-<span class="r-in">  <span class="va">ds_i</span><span class="op">[</span><span class="va">ds_i</span><span class="op">$</span><span class="va">name</span> <span class="op">==</span> <span class="st">"DMTAP"</span>, <span class="st">"name"</span><span class="op">]</span> <span class="op">&lt;-</span>  <span class="st">"DMTA"</span></span>
-<span class="r-in">  <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">&lt;-</span> <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">*</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">f_time_norm</span><span class="op">[</span><span class="va">i</span><span class="op">]</span></span>
-<span class="r-in">  <span class="va">ds_i</span></span>
-<span class="r-in"><span class="op">}</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="va">ds</span><span class="op">$</span><span class="va">title</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span>, <span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span>
-<span class="r-in"><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span>
-<span class="r-in"><span class="co"># \dontrun{</span></span>
-<span class="r-in"><span class="va">dfop_sfo3_plus</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span>
-<span class="r-in">  DMTA <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"M23"</span>, <span class="st">"M27"</span>, <span class="st">"M31"</span><span class="op">)</span><span class="op">)</span>,</span>
-<span class="r-in">  M23 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span>
-<span class="r-in">  M27 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span>
-<span class="r-in">  M31 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M27"</span>, sink <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,</span>
-<span class="r-in">  quiet <span class="op">=</span> <span class="cn">TRUE</span></span>
-<span class="r-in"><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_dmta_mkin_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"DFOP-SFO3+"</span> <span class="op">=</span> <span class="va">dfop_sfo3_plus</span><span class="op">)</span>,</span>
-<span class="r-in">  <span class="va">dmta_ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="nlmixr.mmkin.html">nlmixr_model</a></span><span class="op">(</span><span class="va">f_dmta_mkin_tc</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> With est = 'saem', a different error model is required for each observed variableChanging the error model to 'obs_tc' (Two-component error for each observed variable)</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>number of items to replace is not a multiple of replacement length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function () </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     ini({</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         DMTA_0 = 99</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.DMTA_0 ~ 2.3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         log_k_M23 = -3.9</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.log_k_M23 ~ 0.55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         log_k_M27 = -4.3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.log_k_M27 ~ 0.86</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         log_k_M31 = -4.2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.log_k_M31 ~ 0.75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         log_k1 = -2.2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.log_k1 ~ 0.9</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         log_k2 = -3.8</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.log_k2 ~ 1.6</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         g_qlogis = 0.44</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.g_qlogis ~ 3.1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_tffm0_1_qlogis = -2.1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.f_DMTA_tffm0_1_qlogis ~ 0.3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_tffm0_2_qlogis = -2.2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.f_DMTA_tffm0_2_qlogis ~ 0.3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_tffm0_3_qlogis = -2.1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         eta.f_DMTA_tffm0_3_qlogis ~ 0.3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         sigma_low_DMTA = 0.7</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         rsd_high_DMTA = 0.026</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         sigma_low_M23 = 0.7</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         rsd_high_M23 = 0.026</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         sigma_low_M27 = 0.7</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         rsd_high_M27 = 0.026</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         sigma_low_M31 = 0.7</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         rsd_high_M31 = 0.026</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     })</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     model({</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         DMTA_0_model = DMTA_0 + eta.DMTA_0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         DMTA(0) = DMTA_0_model</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         k_M23 = exp(log_k_M23 + eta.log_k_M23)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         k_M27 = exp(log_k_M27 + eta.log_k_M27)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         k_M31 = exp(log_k_M31 + eta.log_k_M31)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         k1 = exp(log_k1 + eta.log_k1)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         k2 = exp(log_k2 + eta.log_k2)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         g = expit(g_qlogis + eta.g_qlogis)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_to_M23 = expit(f_DMTA_tffm0_1_qlogis + eta.f_DMTA_tffm0_1_qlogis)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_to_M23 = expit(f_DMTA_tffm0_2_qlogis + eta.f_DMTA_tffm0_2_qlogis)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_to_M23 = expit(f_DMTA_tffm0_3_qlogis + eta.f_DMTA_tffm0_3_qlogis)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_to_M23 = f_DMTA_tffm0_1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_to_M27 = f_DMTA_tffm0_2 * (1 - f_DMTA_tffm0_1)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         f_DMTA_to_M31 = f_DMTA_tffm0_3 * (1 - f_DMTA_tffm0_2) * </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             (1 - f_DMTA_tffm0_1)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         d/dt(DMTA) = -((k1 * g * exp(-k1 * time) + k2 * (1 - </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             g) * exp(-k2 * time))/(g * exp(-k1 * time) + (1 - </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             g) * exp(-k2 * time))) * DMTA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         d/dt(M23) = +f_DMTA_to_M23 * ((k1 * g * exp(-k1 * time) + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             (1 - g) * exp(-k2 * time))) * DMTA - k_M23 * M23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         d/dt(M27) = +f_DMTA_to_M27 * ((k1 * g * exp(-k1 * time) + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             (1 - g) * exp(-k2 * time))) * DMTA - k_M27 * M27 + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             k_M31 * M31</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         d/dt(M31) = +f_DMTA_to_M31 * ((k1 * g * exp(-k1 * time) + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             k2 * (1 - g) * exp(-k2 * time))/(g * exp(-k1 * time) + </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>             (1 - g) * exp(-k2 * time))) * DMTA - k_M31 * M31</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         DMTA ~ add(sigma_low_DMTA) + prop(rsd_high_DMTA)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         M23 ~ add(sigma_low_M23) + prop(rsd_high_M23)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         M27 ~ add(sigma_low_M27) + prop(rsd_high_M27)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         M31 ~ add(sigma_low_M31) + prop(rsd_high_M31)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     })</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x55555fca3790&gt;</span>
-<span class="r-in"><span class="co"># The focei fit takes about four minutes on my system</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span></span>
-<span class="r-in">  <span class="va">f_dmta_nlmixr_focei</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_dmta_mkin_tc</span>, est <span class="op">=</span> <span class="st">"focei"</span>,</span>
-<span class="r-in">    control <span class="op">=</span> <span class="fu">nlmixr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/foceiControl.html" class="external-link">foceiControl</a></span><span class="op">(</span>print <span class="op">=</span> <span class="fl">500</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="op">)</span></span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>number of items to replace is not a multiple of replacement length</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Need to run with the source intact to parse comments</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → creating full model...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → pruning branches (`if`/`else`)...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → loading into <span style="color: #0000BB;">symengine</span> environment...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → creating full model...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → pruning branches (`if`/`else`)...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → loading into <span style="color: #0000BB;">symengine</span> environment...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → calculate jacobian</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:01 </span>
+<span class="r-in"><span><span class="va">dmta_ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">7</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="va">ds_i</span> <span class="op">&lt;-</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span><span class="op">[[</span><span class="va">i</span><span class="op">]</span><span class="op">]</span><span class="op">$</span><span class="va">data</span></span></span>
+<span class="r-in"><span>  <span class="va">ds_i</span><span class="op">[</span><span class="va">ds_i</span><span class="op">$</span><span class="va">name</span> <span class="op">==</span> <span class="st">"DMTAP"</span>, <span class="st">"name"</span><span class="op">]</span> <span class="op">&lt;-</span>  <span class="st">"DMTA"</span></span></span>
+<span class="r-in"><span>  <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">&lt;-</span> <span class="va">ds_i</span><span class="op">$</span><span class="va">time</span> <span class="op">*</span> <span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">f_time_norm</span><span class="op">[</span><span class="va">i</span><span class="op">]</span></span></span>
+<span class="r-in"><span>  <span class="va">ds_i</span></span></span>
+<span class="r-in"><span><span class="op">}</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">sapply</a></span><span class="op">(</span><span class="va">dimethenamid_2018</span><span class="op">$</span><span class="va">ds</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="va">ds</span><span class="op">$</span><span class="va">title</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span>, <span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 1"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span></span>
+<span class="r-in"><span><span class="va">dmta_ds</span><span class="op">[[</span><span class="st">"Elliot 2"</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NULL</span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="co"># We don't use DFOP for the parent compound, as this gives numerical</span></span></span>
+<span class="r-in"><span><span class="co"># instabilities in the fits</span></span></span>
+<span class="r-in"><span><span class="va">sfo_sfo3p</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span> DMTA <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"M23"</span>, <span class="st">"M27"</span>, <span class="st">"M31"</span><span class="op">)</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span> M23 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span> M27 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span> M31 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"M27"</span>, sink <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span> quiet <span class="op">=</span> <span class="cn">TRUE</span></span></span>
+<span class="r-in"><span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">dmta_sfo_sfo3p_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"SFO-SFO3+"</span> <span class="op">=</span> <span class="va">sfo_sfo3p</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  <span class="va">dmta_ds</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">dmta_sfo_sfo3p_tc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mmkin&gt; object</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Status of individual fits:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            dataset</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> model       Calke Borstel Flaach BBA 2.2 BBA 2.3 Elliot</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   SFO-SFO3+ OK    OK      OK     OK      OK      OK    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> OK: No warnings</span>
+<span class="r-in"><span><span class="co"># The default (test_log_parms = FALSE) gives an undue</span></span></span>
+<span class="r-in"><span><span class="co"># influence of ill-defined rate constants that have</span></span></span>
+<span class="r-in"><span><span class="co"># extremely small values:</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="mixed.html">mixed</a></span><span class="op">(</span><span class="va">dmta_sfo_sfo3p_tc</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="dimethenamid_2018-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># If we disregards ill-defined rate constants, the results</span></span></span>
+<span class="r-in"><span><span class="co"># look more plausible, but the truth is likely to be in</span></span></span>
+<span class="r-in"><span><span class="co"># between these variants</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="mixed.html">mixed</a></span><span class="op">(</span><span class="va">dmta_sfo_sfo3p_tc</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="dimethenamid_2018-2.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># We can also specify a default value for the failing</span></span></span>
+<span class="r-in"><span><span class="co"># log parameters, to mimic FOCUS guidance</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="mixed.html">mixed</a></span><span class="op">(</span><span class="va">dmta_sfo_sfo3p_tc</span><span class="op">)</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span>,</span></span>
+<span class="r-in"><span>  default_log_parms <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">2</span><span class="op">)</span><span class="op">/</span><span class="fl">1000</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="dimethenamid_2018-3.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># As these attempts are not satisfying, we use nonlinear mixed-effects models</span></span></span>
+<span class="r-in"><span><span class="co"># f_dmta_nlme_tc &lt;- nlme(dmta_sfo_sfo3p_tc)</span></span></span>
+<span class="r-in"><span><span class="co"># nlme reaches maxIter = 50 without convergence</span></span></span>
+<span class="r-in"><span><span class="va">f_dmta_saem_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="saem.html">saem</a></span><span class="op">(</span><span class="va">dmta_sfo_sfo3p_tc</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># I am commenting out the convergence plot as rendering them</span></span></span>
+<span class="r-in"><span><span class="co"># with pkgdown fails (at least without further tweaks to the</span></span></span>
+<span class="r-in"><span><span class="co"># graphics device used)</span></span></span>
+<span class="r-in"><span><span class="co">#saemix::plot(f_dmta_saem_tc$so, plot.type = "convergence")</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_dmta_saem_tc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> saemix version used for fitting:      3.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for pre-fitting:  1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:         4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:24:12 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:24:12 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_DMTA/dt = - k_DMTA * DMTA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_M23/dt = + f_DMTA_to_M23 * k_DMTA * DMTA - k_M23 * M23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_M27/dt = + f_DMTA_to_M27 * k_DMTA * DMTA - k_M27 * M27 + k_M31 * M31</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_M31/dt = + f_DMTA_to_M31 * k_DMTA * DMTA - k_M31 * M31</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 563 observations of 4 variable(s) grouped in 6 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type deSolve </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 791.863 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Using 300, 100 iterations and 9 chains</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model: Two-component variance function </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Mean of starting values for individual parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       DMTA_0   log_k_DMTA    log_k_M23    log_k_M27    log_k_M31 f_DMTA_ilr_1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      95.5662      -2.9048      -3.8130      -4.1600      -4.1486       0.1341 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_2 f_DMTA_ilr_3 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       0.1385      -1.6700 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → calculate sensitivities</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:03 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed degradation parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> None</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → calculate ∂(f)/∂(η)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:01 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → calculate ∂(R²)/∂(η)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:08 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood computed by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    AIC  BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   2276 2272  -1120</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → finding duplicate expressions in inner model...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:07 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 est.   lower   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA_0       88.5943 84.3961 92.7925</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_DMTA   -3.0466 -3.5609 -2.5322</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_M23    -4.0684 -4.9340 -3.2029</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_M27    -3.8628 -4.2627 -3.4628</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_M31    -3.9803 -4.4804 -3.4801</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_1  0.1304 -0.2186  0.4795</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_2  0.1490 -0.2559  0.5540</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_3 -1.3970 -1.6976 -1.0964</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → optimizing duplicate expressions in inner model...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:06 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Correlation: </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              DMTA_0  l__DMTA lg__M23 lg__M27 lg__M31 f_DMTA__1 f_DMTA__2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_DMTA    0.0309                                                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_M23    -0.0231 -0.0031                                            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_M27    -0.0381 -0.0048  0.0039                                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_M31    -0.0251 -0.0031  0.0021  0.0830                            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_1 -0.0046 -0.0006  0.0417 -0.0437  0.0328                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_2 -0.0008 -0.0002  0.0214 -0.0270 -0.0909 -0.0361            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_ilr_3 -0.1832 -0.0135  0.0434  0.0804  0.0395 -0.0070    0.0059  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → finding duplicate expressions in EBE model...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:00 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Random effects:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   est.   lower  upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.DMTA_0       3.3651 -0.9649 7.6951</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_DMTA   0.6415  0.2774 1.0055</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_M23    1.0176  0.3809 1.6543</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_M27    0.4538  0.1522 0.7554</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_M31    0.5684  0.1905 0.9464</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_DMTA_ilr_1 0.4111  0.1524 0.6699</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_DMTA_ilr_2 0.4788  0.1808 0.7768</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_DMTA_ilr_3 0.3501  0.1316 0.5685</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → optimizing duplicate expressions in EBE model...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [====|====|====|====|====|====|====|====|====|====] 0:00:00 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       est.  lower upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1 0.9349 0.8409 1.029</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b.1 0.1344 0.1178 0.151</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → compiling inner model...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → finding duplicate expressions in FD model...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   est.     lower    upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA_0        88.59431 84.396147 92.79246</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_DMTA         0.04752  0.028413  0.07948</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_M23          0.01710  0.007198  0.04064</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_M27          0.02101  0.014084  0.03134</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_M31          0.01868  0.011329  0.03080</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_to_M23  0.14498        NA       NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_to_M27  0.12056        NA       NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_DMTA_to_M31  0.11015        NA       NA</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → optimizing duplicate expressions in FD model...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Resulting formation fractions:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>               ff</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA_M23  0.1450</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA_M27  0.1206</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA_M31  0.1101</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA_sink 0.6243</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → compiling EBE model...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> → compiling events FD model...</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BB00;">✔</span> done</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Model:</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> cmt(DMTA);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> cmt(M23);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> cmt(M27);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> cmt(M31);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_14~ETA[1]+THETA[1];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> DMTA(0)=rx_expr_14;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_15~ETA[5]+THETA[5];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_16~ETA[7]+THETA[7];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_17~ETA[6]+THETA[6];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_24~exp(rx_expr_15);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_25~exp(rx_expr_17);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_29~t*rx_expr_24;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_30~t*rx_expr_25;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_31~exp(-(rx_expr_16));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_35~1+rx_expr_31;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_40~1/(rx_expr_35);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_42~(rx_expr_40);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_43~1-rx_expr_42;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> d/dt(DMTA)=-DMTA*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_18~ETA[2]+THETA[2];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_26~exp(rx_expr_18);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> d/dt(M23)=-rx_expr_26*M23+DMTA*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))*f_DMTA_tffm0_1/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_19~ETA[3]+THETA[3];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_20~ETA[4]+THETA[4];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_21~1-f_DMTA_tffm0_1;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_27~exp(rx_expr_19);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_28~exp(rx_expr_20);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> d/dt(M27)=-rx_expr_27*M27+rx_expr_28*M31+DMTA*(rx_expr_21)*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))*f_DMTA_tffm0_2/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_22~1-f_DMTA_tffm0_2;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> d/dt(M31)=-rx_expr_28*M31+DMTA*(rx_expr_22)*(rx_expr_21)*(exp(rx_expr_15-rx_expr_29)/(rx_expr_35)+exp(rx_expr_17-rx_expr_30)*(rx_expr_43))*f_DMTA_tffm0_3/(exp(-t*rx_expr_24)/(rx_expr_35)+exp(-t*rx_expr_25)*(rx_expr_43));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_0~CMT==4;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_1~CMT==2;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_2~CMT==1;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_3~CMT==3;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_4~1-(rx_expr_0);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_5~1-(rx_expr_1);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_6~1-(rx_expr_3);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_yj_~(rx_expr_4)*((2*(rx_expr_5)*(rx_expr_2)+2*(rx_expr_1))*(rx_expr_6)+2*(rx_expr_3))+2*(rx_expr_0);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_7~(rx_expr_1);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_8~(rx_expr_3);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_9~(rx_expr_0);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_13~(rx_expr_5);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_32~rx_expr_13*(rx_expr_2);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_lambda_~(rx_expr_4)*((rx_expr_32+rx_expr_7)*(rx_expr_6)+rx_expr_8)+rx_expr_9;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_hi_~(rx_expr_4)*((rx_expr_32+rx_expr_7)*(rx_expr_6)+rx_expr_8)+rx_expr_9;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_low_~0;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_10~M31*(rx_expr_0);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_11~M27*(rx_expr_3);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_12~M23*(rx_expr_1);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_23~DMTA*(rx_expr_5);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_36~rx_expr_23*(rx_expr_2);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_pred_=(rx_expr_4)*((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_3)+((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2))*(rx_expr_6))+(rx_expr_0)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_33~Rx_pow_di(THETA[12],2);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_expr_34~Rx_pow_di(THETA[11],2);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rx_r_=(rx_expr_4)*((rx_expr_33*Rx_pow_di(((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_3)+((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2))*(rx_expr_6)),2)+rx_expr_34)*(rx_expr_3)+((rx_expr_1)*(rx_expr_33*Rx_pow_di(((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2)),2)+rx_expr_34)+(rx_expr_33*Rx_pow_di(((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2)),2)+rx_expr_34)*(rx_expr_5)*(rx_expr_2))*(rx_expr_6))+(rx_expr_0)*(rx_expr_33*Rx_pow_di(((rx_expr_4)*((rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_3)+((rx_expr_1)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))+(rx_expr_5)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))*(rx_expr_2))*(rx_expr_6))+(rx_expr_0)*(rx_expr_10+(rx_expr_4)*(rx_expr_11+(rx_expr_12+rx_expr_36)*(rx_expr_6)))),2)+rx_expr_34);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> DMTA_0=THETA[1];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> log_k_M23=THETA[2];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> log_k_M27=THETA[3];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> log_k_M31=THETA[4];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> log_k1=THETA[5];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> log_k2=THETA[6];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> g_qlogis=THETA[7];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_tffm0_1_qlogis=THETA[8];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_tffm0_2_qlogis=THETA[9];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_tffm0_3_qlogis=THETA[10];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> sigma_low=THETA[11];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> rsd_high=THETA[12];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.DMTA_0=ETA[1];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.log_k_M23=ETA[2];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.log_k_M27=ETA[3];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.log_k_M31=ETA[4];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.log_k1=ETA[5];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.log_k2=ETA[6];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.g_qlogis=ETA[7];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.f_DMTA_tffm0_1_qlogis=ETA[8];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.f_DMTA_tffm0_2_qlogis=ETA[9];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> eta.f_DMTA_tffm0_3_qlogis=ETA[10];</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> DMTA_0_model=rx_expr_14;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> k_M23=rx_expr_26;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> k_M27=rx_expr_27;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> k_M31=rx_expr_28;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> k1=rx_expr_24;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> k2=rx_expr_25;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> g=1/(rx_expr_35);</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_to_M23=1/(1+exp(-(ETA[8]+THETA[8])));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_to_M23=1/(1+exp(-(ETA[9]+THETA[9])));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_to_M23=1/(1+exp(-(ETA[10]+THETA[10])));</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_to_M23=f_DMTA_tffm0_1;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_to_M27=(rx_expr_21)*f_DMTA_tffm0_2;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> f_DMTA_to_M31=(rx_expr_22)*(rx_expr_21)*f_DMTA_tffm0_3;</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> tad=tad();</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> dosenum=dosenum();</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Needed Covariates:</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> [1] "f_DMTA_tffm0_1" "f_DMTA_tffm0_2" "f_DMTA_tffm0_3" "CMT"           </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in (function (data, inits, PKpars, model = NULL, pred = NULL, err = NULL,     lower = -Inf, upper = Inf, fixed = NULL, skipCov = NULL,     control = foceiControl(), thetaNames = NULL, etaNames = NULL,     etaMat = NULL, ..., env = NULL, keep = NULL, drop = NULL) {    set.seed(control$seed)    .pt &lt;- proc.time()    RxODE::.setWarnIdSort(FALSE)    on.exit(RxODE::.setWarnIdSort(TRUE))    loadNamespace("n1qn1")    if (!RxODE::rxIs(control, "foceiControl")) {        control &lt;- do.call(foceiControl, control)    }    if (is.null(env)) {        .ret &lt;- new.env(parent = emptyenv())    }    else {        .ret &lt;- env    }    .ret$origData &lt;- data    .ret$etaNames &lt;- etaNames    .ret$thetaFixed &lt;- fixed    .ret$control &lt;- control    .ret$control$focei.mu.ref &lt;- integer(0)    if (is(model, "RxODE") || is(model, "character")) {        .ret$ODEmodel &lt;- TRUE        if (class(pred) != "function") {            stop("pred must be a function specifying the prediction variables in this model.")        }    }    else {        .ret$ODEmodel &lt;- TRUE        model &lt;- RxODE::rxGetLin(PKpars)        pred &lt;- eval(parse(text = "function(){return(Central);}"))    }    .square &lt;- function(x) x * x    .ret$diagXformInv &lt;- c(sqrt = ".square", log = "exp", identity = "identity")[control$diagXform]    if (is.null(err)) {        err &lt;- eval(parse(text = paste0("function(){err", paste(inits$ERROR[[1]],             collapse = ""), "}")))    }    .covNames &lt;- .parNames &lt;- c()    .ret$adjLik &lt;- control$adjLik    .mixed &lt;- !is.null(inits$OMGA) &amp;&amp; length(inits$OMGA) &gt; 0    if (!exists("noLik", envir = .ret)) {        .atol &lt;- rep(control$atol, length(RxODE::rxModelVars(model)$state))        .rtol &lt;- rep(control$rtol, length(RxODE::rxModelVars(model)$state))        .ssAtol &lt;- rep(control$ssAtol, length(RxODE::rxModelVars(model)$state))        .ssRtol &lt;- rep(control$ssRtol, length(RxODE::rxModelVars(model)$state))        .ret$model &lt;- RxODE::rxSymPySetupPred(model, pred, PKpars,             err, grad = (control$derivMethod == 2L), pred.minus.dv = TRUE,             sum.prod = control$sumProd, theta.derivs = FALSE,             optExpression = control$optExpression, interaction = (control$interaction ==                 1L), only.numeric = !.mixed, run.internal = TRUE,             addProp = control$addProp)        if (!is.null(.ret$model$inner)) {            .atol &lt;- c(.atol, rep(control$atolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.atol)))            .rtol &lt;- c(.rtol, rep(control$rtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.rtol)))            .ret$control$rxControl$atol &lt;- .atol            .ret$control$rxControl$rtol &lt;- .rtol            .ssAtol &lt;- c(.ssAtol, rep(control$ssAtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.ssAtol)))            .ssRtol &lt;- c(.ssRtol, rep(control$ssRtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                 length(.ssRtol)))            .ret$control$rxControl$ssAtol &lt;- .ssAtol            .ret$control$rxControl$ssRtol &lt;- .ssRtol        }        .covNames &lt;- .parNames &lt;- RxODE::rxParams(.ret$model$pred.only)        .covNames &lt;- .covNames[regexpr(rex::rex(start, or("THETA",             "ETA"), "[", numbers, "]", end), .covNames) == -1]        colnames(data) &lt;- sapply(names(data), function(x) {            if (any(x == .covNames)) {                return(x)            }            else {                return(toupper(x))            }        })        .lhs &lt;- c(names(RxODE::rxInits(.ret$model$pred.only)),             RxODE::rxLhs(.ret$model$pred.only))        if (length(.lhs) &gt; 0) {            .covNames &lt;- .covNames[regexpr(rex::rex(start, or(.lhs),                 end), .covNames) == -1]        }        if (length(.covNames) &gt; 0) {            if (!all(.covNames %in% names(data))) {                message("Model:")                RxODE::rxCat(.ret$model$pred.only)                message("Needed Covariates:")                nlmixrPrint(.covNames)                stop("Not all the covariates are in the dataset.")            }            message("Needed Covariates:")            print(.covNames)        }        .extraPars &lt;- .ret$model$extra.pars    }    else {        if (.ret$noLik) {            .atol &lt;- rep(control$atol, length(RxODE::rxModelVars(model)$state))            .rtol &lt;- rep(control$rtol, length(RxODE::rxModelVars(model)$state))            .ret$model &lt;- RxODE::rxSymPySetupPred(model, pred,                 PKpars, err, grad = FALSE, pred.minus.dv = TRUE,                 sum.prod = control$sumProd, theta.derivs = FALSE,                 optExpression = control$optExpression, run.internal = TRUE,                 only.numeric = TRUE, addProp = control$addProp)            if (!is.null(.ret$model$inner)) {                .atol &lt;- c(.atol, rep(control$atolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                   length(.atol)))                .rtol &lt;- c(.rtol, rep(control$rtolSens, length(RxODE::rxModelVars(.ret$model$inner)$state) -                   length(.rtol)))                .ret$control$rxControl$atol &lt;- .atol                .ret$control$rxControl$rtol &lt;- .rtol            }            .covNames &lt;- .parNames &lt;- RxODE::rxParams(.ret$model$pred.only)            .covNames &lt;- .covNames[regexpr(rex::rex(start, or("THETA",                 "ETA"), "[", numbers, "]", end), .covNames) ==                 -1]            colnames(data) &lt;- sapply(names(data), function(x) {                if (any(x == .covNames)) {                  return(x)                }                else {                  return(toupper(x))                }            })            .lhs &lt;- c(names(RxODE::rxInits(.ret$model$pred.only)),                 RxODE::rxLhs(.ret$model$pred.only))            if (length(.lhs) &gt; 0) {                .covNames &lt;- .covNames[regexpr(rex::rex(start,                   or(.lhs), end), .covNames) == -1]            }            if (length(.covNames) &gt; 0) {                if (!all(.covNames %in% names(data))) {                  message("Model:")                  RxODE::rxCat(.ret$model$pred.only)                  message("Needed Covariates:")                  nlmixrPrint(.covNames)                  stop("Not all the covariates are in the dataset.")                }                message("Needed Covariates:")                print(.covNames)            }            .extraPars &lt;- .ret$model$extra.pars        }        else {            .extraPars &lt;- NULL        }    }    .ret$skipCov &lt;- skipCov    if (is.null(skipCov)) {        if (is.null(fixed)) {            .tmp &lt;- rep(FALSE, length(inits$THTA))        }        else {            if (length(fixed) &lt; length(inits$THTA)) {                .tmp &lt;- c(fixed, rep(FALSE, length(inits$THTA) -                   length(fixed)))            }            else {                .tmp &lt;- fixed[1:length(inits$THTA)]            }        }        if (exists("uif", envir = .ret)) {            .uifErr &lt;- .ret$uif$ini$err[!is.na(.ret$uif$ini$ntheta)]            .uifErr &lt;- sapply(.uifErr, function(x) {                if (is.na(x)) {                  return(FALSE)                }                return(!any(x == c("pow2", "tbs", "tbsYj")))            })            .tmp &lt;- (.tmp | .uifErr)        }        .ret$skipCov &lt;- c(.tmp, rep(TRUE, length(.extraPars)))        .ret$control$focei.mu.ref &lt;- .ret$uif$focei.mu.ref    }    if (is.null(.extraPars)) {        .nms &lt;- c(sprintf("THETA[%s]", seq_along(inits$THTA)))    }    else {        .nms &lt;- c(sprintf("THETA[%s]", seq_along(inits$THTA)),             sprintf("ERR[%s]", seq_along(.extraPars)))    }    if (!is.null(thetaNames) &amp;&amp; (length(inits$THTA) + length(.extraPars)) ==         length(thetaNames)) {        .nms &lt;- thetaNames    }    .ret$thetaNames &lt;- .nms    .thetaReset$thetaNames &lt;- .nms    if (length(lower) == 1) {        lower &lt;- rep(lower, length(inits$THTA))    }    else if (length(lower) != length(inits$THTA)) {        print(inits$THTA)        print(lower)        stop("Lower must be a single constant for all the THETA lower bounds, or match the dimension of THETA.")    }    if (length(upper) == 1) {        upper &lt;- rep(upper, length(inits$THTA))    }    else if (length(lower) != length(inits$THTA)) {        stop("Upper must be a single constant for all the THETA lower bounds, or match the dimension of THETA.")    }    if (!is.null(.extraPars)) {        .ret$model$extra.pars &lt;- eval(call(control$diagXform,             .ret$model$extra.pars))        if (length(.ret$model$extra.pars) &gt; 0) {            inits$THTA &lt;- c(inits$THTA, .ret$model$extra.pars)            .lowerErr &lt;- rep(control$atol[1] * 10, length(.ret$model$extra.pars))            .upperErr &lt;- rep(Inf, length(.ret$model$extra.pars))            lower &lt;- c(lower, .lowerErr)            upper &lt;- c(upper, .upperErr)        }    }    if (is.null(data$ID))         stop("\"ID\" not found in data")    if (is.null(data$DV))         stop("\"DV\" not found in data")    if (is.null(data$EVID))         data$EVID &lt;- 0    if (is.null(data$AMT))         data$AMT &lt;- 0    for (.v in c("TIME", "AMT", "DV", .covNames)) {        data[[.v]] &lt;- as.double(data[[.v]])    }    .ret$dataSav &lt;- data    .ds &lt;- data[data$EVID != 0 &amp; data$EVID != 2, c("ID", "TIME",         "AMT", "EVID", .covNames)]    .w &lt;- which(tolower(names(data)) == "limit")    .limitName &lt;- NULL    if (length(.w) == 1L) {        .limitName &lt;- names(data)[.w]    }    .censName &lt;- NULL    .w &lt;- which(tolower(names(data)) == "cens")    if (length(.w) == 1L) {        .censName &lt;- names(data[.w])    }    data &lt;- data[data$EVID == 0 | data$EVID == 2, c("ID", "TIME",         "DV", "EVID", .covNames, .limitName, .censName)]    .w &lt;- which(!(names(.ret$dataSav) %in% c(.covNames, keep)))    names(.ret$dataSav)[.w] &lt;- tolower(names(.ret$dataSav[.w]))    if (.mixed) {        .lh &lt;- .parseOM(inits$OMGA)        .nlh &lt;- sapply(.lh, length)        .osplt &lt;- rep(1:length(.lh), .nlh)        .lini &lt;- list(inits$THTA, unlist(.lh))        .nlini &lt;- sapply(.lini, length)        .nsplt &lt;- rep(1:length(.lini), .nlini)        .om0 &lt;- .genOM(.lh)        if (length(etaNames) == dim(.om0)[1]) {            .ret$etaNames &lt;- .ret$etaNames        }        else {            .ret$etaNames &lt;- sprintf("ETA[%d]", seq(1, dim(.om0)[1]))        }        .ret$rxInv &lt;- RxODE::rxSymInvCholCreate(mat = .om0, diag.xform = control$diagXform)        .ret$xType &lt;- .ret$rxInv$xType        .om0a &lt;- .om0        .om0a &lt;- .om0a/control$diagOmegaBoundLower        .om0b &lt;- .om0        .om0b &lt;- .om0b * control$diagOmegaBoundUpper        .om0a &lt;- RxODE::rxSymInvCholCreate(mat = .om0a, diag.xform = control$diagXform)        .om0b &lt;- RxODE::rxSymInvCholCreate(mat = .om0b, diag.xform = control$diagXform)        .omdf &lt;- data.frame(a = .om0a$theta, m = .ret$rxInv$theta,             b = .om0b$theta, diag = .om0a$theta.diag)        .omdf$lower &lt;- with(.omdf, ifelse(a &gt; b, b, a))        .omdf$lower &lt;- with(.omdf, ifelse(lower == m, -Inf, lower))        .omdf$lower &lt;- with(.omdf, ifelse(!diag, -Inf, lower))        .omdf$upper &lt;- with(.omdf, ifelse(a &lt; b, b, a))        .omdf$upper &lt;- with(.omdf, ifelse(upper == m, Inf, upper))        .omdf$upper &lt;- with(.omdf, ifelse(!diag, Inf, upper))        .ret$control$nomega &lt;- length(.omdf$lower)        .ret$control$neta &lt;- sum(.omdf$diag)        .ret$control$ntheta &lt;- length(lower)        .ret$control$nfixed &lt;- sum(fixed)        lower &lt;- c(lower, .omdf$lower)        upper &lt;- c(upper, .omdf$upper)    }    else {        .ret$control$nomega &lt;- 0        .ret$control$neta &lt;- 0        .ret$xType &lt;- -1        .ret$control$ntheta &lt;- length(lower)        .ret$control$nfixed &lt;- sum(fixed)    }    .ret$lower &lt;- lower    .ret$upper &lt;- upper    .ret$thetaIni &lt;- inits$THTA    .scaleC &lt;- double(length(lower))    if (is.null(control$scaleC)) {        .scaleC &lt;- rep(NA_real_, length(lower))    }    else {        .scaleC &lt;- as.double(control$scaleC)        if (length(lower) &gt; length(.scaleC)) {            .scaleC &lt;- c(.scaleC, rep(NA_real_, length(lower) -                 length(.scaleC)))        }        else if (length(lower) &lt; length(.scaleC)) {            .scaleC &lt;- .scaleC[seq(1, length(lower))]            warning("scaleC control option has more options than estimated population parameters, please check.")        }    }    .ret$scaleC &lt;- .scaleC    if (exists("uif", envir = .ret)) {        .ini &lt;- as.data.frame(.ret$uif$ini)[!is.na(.ret$uif$ini$err),             c("est", "err", "ntheta")]        for (.i in seq_along(.ini$err)) {            if (is.na(.ret$scaleC[.ini$ntheta[.i]])) {                if (any(.ini$err[.i] == c("boxCox", "yeoJohnson",                   "pow2", "tbs", "tbsYj"))) {                  .ret$scaleC[.ini$ntheta[.i]] &lt;- 1                }                else if (any(.ini$err[.i] == c("prop", "add",                   "norm", "dnorm", "logn", "dlogn", "lnorm",                   "dlnorm"))) {                  .ret$scaleC[.ini$ntheta[.i]] &lt;- 0.5 * abs(.ini$est[.i])                }            }        }        for (.i in .ini$model$extraProps$powTheta) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- 1        }        .ini &lt;- as.data.frame(.ret$uif$ini)        for (.i in .ini$model$extraProps$factorial) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- abs(1/digamma(.ini$est[.i] +                   1))        }        for (.i in .ini$model$extraProps$gamma) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- abs(1/digamma(.ini$est[.i]))        }        for (.i in .ini$model$extraProps$log) {            if (is.na(.ret$scaleC[.i]))                 .ret$scaleC[.i] &lt;- log(abs(.ini$est[.i])) * abs(.ini$est[.i])        }        for (.i in .ret$logitThetas) {            .b &lt;- .ret$logitThetasLow[.i]            .c &lt;- .ret$logitThetasHi[.i]            .a &lt;- .ini$est[.i]            if (is.na(.ret$scaleC[.i])) {                .ret$scaleC[.i] &lt;- 1 * (-.b + .c) * exp(-.a)/((1 +                   exp(-.a))^2 * (.b + 1 * (-.b + .c)/(1 + exp(-.a))))            }        }    }    names(.ret$thetaIni) &lt;- sprintf("THETA[%d]", seq_along(.ret$thetaIni))    if (is.null(etaMat) &amp; !is.null(control$etaMat)) {        .ret$etaMat &lt;- control$etaMat    }    else {        .ret$etaMat &lt;- etaMat    }    .ret$setupTime &lt;- (proc.time() - .pt)["elapsed"]    if (exists("uif", envir = .ret)) {        .tmp &lt;- .ret$uif$logThetasList        .ret$logThetas &lt;- .tmp[[1]]        .ret$logThetasF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$logitThetasList        .ret$logitThetas &lt;- .tmp[[1]]        .ret$logitThetasF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$logitThetasListLow        .ret$logitThetasLow &lt;- .tmp[[1]]        .ret$logitThetasLowF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$logitThetasListHi        .ret$logitThetasHi &lt;- .tmp[[1]]        .ret$logitThetasHiF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$probitThetasList        .ret$probitThetas &lt;- .tmp[[1]]        .ret$probitThetasF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$probitThetasListLow        .ret$probitThetasLow &lt;- .tmp[[1]]        .ret$probitThetasLowF &lt;- .tmp[[2]]        .tmp &lt;- .ret$uif$probitThetasListHi        .ret$probitThetasHi &lt;- .tmp[[1]]        .ret$probitThetasHiF &lt;- .tmp[[2]]    }    else {        .ret$logThetasF &lt;- integer(0)        .ret$logitThetasF &lt;- integer(0)        .ret$logitThetasHiF &lt;- numeric(0)        .ret$logitThetasLowF &lt;- numeric(0)        .ret$logitThetas &lt;- integer(0)        .ret$logitThetasHi &lt;- numeric(0)        .ret$logitThetasLow &lt;- numeric(0)        .ret$probitThetasF &lt;- integer(0)        .ret$probitThetasHiF &lt;- numeric(0)        .ret$probitThetasLowF &lt;- numeric(0)        .ret$probitThetas &lt;- integer(0)        .ret$probitThetasHi &lt;- numeric(0)        .ret$probitThetasLow &lt;- numeric(0)    }    if (exists("noLik", envir = .ret)) {        if (!.ret$noLik) {            .ret$.params &lt;- c(sprintf("THETA[%d]", seq_along(.ret$thetaIni)),                 sprintf("ETA[%d]", seq(1, dim(.om0)[1])))            .ret$.thetan &lt;- length(.ret$thetaIni)            .ret$nobs &lt;- sum(data$EVID == 0)        }    }    .ret$control$printTop &lt;- TRUE    .ret$control$nF &lt;- 0    .est0 &lt;- .ret$thetaIni    if (!is.null(.ret$model$pred.nolhs)) {        .ret$control$predNeq &lt;- length(.ret$model$pred.nolhs$state)    }    else {        .ret$control$predNeq &lt;- 0L    }    .fitFun &lt;- function(.ret) {        this.env &lt;- environment()        assign("err", "theta reset", this.env)        while (this.env$err == "theta reset") {            assign("err", "", this.env)            .ret0 &lt;- tryCatch({                foceiFitCpp_(.ret)            }, error = function(e) {                if (regexpr("theta reset", e$message) != -1) {                  assign("zeroOuter", FALSE, this.env)                  assign("zeroGrad", FALSE, this.env)                  if (regexpr("theta reset0", e$message) != -1) {                    assign("zeroGrad", TRUE, this.env)                  }                  else if (regexpr("theta resetZ", e$message) !=                     -1) {                    assign("zeroOuter", TRUE, this.env)                  }                  assign("err", "theta reset", this.env)                }                else {                  assign("err", e$message, this.env)                }            })            if (this.env$err == "theta reset") {                .nm &lt;- names(.ret$thetaIni)                .ret$thetaIni &lt;- setNames(.thetaReset$thetaIni +                   0, .nm)                .ret$rxInv$theta &lt;- .thetaReset$omegaTheta                .ret$control$printTop &lt;- FALSE                .ret$etaMat &lt;- .thetaReset$etaMat                .ret$control$etaMat &lt;- .thetaReset$etaMat                .ret$control$maxInnerIterations &lt;- .thetaReset$maxInnerIterations                .ret$control$nF &lt;- .thetaReset$nF                .ret$control$gillRetC &lt;- .thetaReset$gillRetC                .ret$control$gillRet &lt;- .thetaReset$gillRet                .ret$control$gillRet &lt;- .thetaReset$gillRet                .ret$control$gillDf &lt;- .thetaReset$gillDf                .ret$control$gillDf2 &lt;- .thetaReset$gillDf2                .ret$control$gillErr &lt;- .thetaReset$gillErr                .ret$control$rEps &lt;- .thetaReset$rEps                .ret$control$aEps &lt;- .thetaReset$aEps                .ret$control$rEpsC &lt;- .thetaReset$rEpsC                .ret$control$aEpsC &lt;- .thetaReset$aEpsC                .ret$control$c1 &lt;- .thetaReset$c1                .ret$control$c2 &lt;- .thetaReset$c2                if (this.env$zeroOuter) {                  message("Posthoc reset")                  .ret$control$maxOuterIterations &lt;- 0L                }                else if (this.env$zeroGrad) {                  message("Theta reset (zero gradient values); Switch to bobyqa")                  RxODE::rxReq("minqa")                  .ret$control$outerOptFun &lt;- .bobyqa                  .ret$control$outerOpt &lt;- -1L                }                else {                  message("Theta reset (ETA drift)")                }            }        }        if (this.env$err != "") {            stop(this.env$err)        }        else {            return(.ret0)        }    }    .ret0 &lt;- try(.fitFun(.ret))    .n &lt;- 1    while (inherits(.ret0, "try-error") &amp;&amp; control$maxOuterIterations !=         0 &amp;&amp; .n &lt;= control$nRetries) {        message(sprintf("Restart %s", .n))        .ret$control$nF &lt;- 0        .estNew &lt;- .est0 + 0.2 * .n * abs(.est0) * stats::runif(length(.est0)) -             0.1 * .n        .estNew &lt;- sapply(seq_along(.est0), function(.i) {            if (.ret$thetaFixed[.i]) {                return(.est0[.i])            }            else if (.estNew[.i] &lt; lower[.i]) {                return(lower + (.Machine$double.eps)^(1/7))            }            else if (.estNew[.i] &gt; upper[.i]) {                return(upper - (.Machine$double.eps)^(1/7))            }            else {                return(.estNew[.i])            }        })        .ret$thetaIni &lt;- .estNew        .ret0 &lt;- try(.fitFun(.ret))        .n &lt;- .n + 1    }    if (inherits(.ret0, "try-error"))         stop("Could not fit data.")    .ret &lt;- .ret0    if (exists("parHistData", .ret)) {        .tmp &lt;- .ret$parHistData        .tmp &lt;- .tmp[.tmp$type == "Unscaled", names(.tmp) !=             "type"]        .iter &lt;- .tmp$iter        .tmp &lt;- .tmp[, names(.tmp) != "iter"]        .ret$parHistStacked &lt;- data.frame(stack(.tmp), iter = .iter)        names(.ret$parHistStacked) &lt;- c("val", "par", "iter")        .ret$parHist &lt;- data.frame(iter = .iter, .tmp)    }    if (.mixed) {        .etas &lt;- .ret$ranef        .thetas &lt;- .ret$fixef        .pars &lt;- .Call(`_nlmixr_nlmixrParameters`, .thetas, .etas)        .ret$shrink &lt;- .Call(`_nlmixr_calcShrinkOnly`, .ret$omega,             .pars$eta.lst, length(.etas$ID))        .updateParFixed(.ret)    }    else {        .updateParFixed(.ret)    }    if (!exists("table", .ret)) {        .ret$table &lt;- tableControl()    }    if (control$calcTables) {        .ret &lt;- addTable(.ret, updateObject = "no", keep = keep,             drop = drop, table = .ret$table)    }    .ret})(data = dat, inits = .FoceiInits, PKpars = .pars, model = .mod,     pred = function() {        return(nlmixr_pred)    }, err = uif$error, lower = uif$focei.lower, upper = uif$focei.upper,     fixed = uif$focei.fixed, thetaNames = uif$focei.names, etaNames = uif$eta.names,     control = control, env = env, keep = .keep, drop = .drop):</span> Not all the covariates are in the dataset.</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Timing stopped at: 119.8 9.331 129.2</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Timing stopped at: 120 9.331 129.3</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_dmta_nlmixr_focei</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in summary(f_dmta_nlmixr_focei):</span> object 'f_dmta_nlmixr_focei' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_dmta_nlmixr_focei</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in plot(f_dmta_nlmixr_focei):</span> object 'f_dmta_nlmixr_focei' not found</span>
-<span class="r-in"><span class="co"># Using saemix takes about 18 minutes</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span></span>
-<span class="r-in">  <span class="va">f_dmta_saemix</span> <span class="op">&lt;-</span> <span class="fu"><a href="saem.html">saem</a></span><span class="op">(</span><span class="va">f_dmta_mkin_tc</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="op">)</span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> DINTDY-  T (=R1) illegal      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> In above message, R1 = 115.507</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>       T not in interval TCUR - HU (= R1) to TCUR (=R2)      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> In above message, R1 = 112.133, R2 = 113.577</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> DLSODA-  At T (=R1), too much accuracy requested  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>       for precision of machine..  See TOLSF (=R2) </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> In above message, R1 = 55.3899, R2 = nan</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in out[available, var]:</span> (subscript) logical subscript too long</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Timing stopped at: 11.84 0.008 11.85</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Timing stopped at: 12.16 0.008 12.17</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># nlmixr with est = "saem" is pretty fast with default iteration numbers, most</span></span>
-<span class="r-in"><span class="co"># of the time (about 2.5 minutes) is spent for calculating the log likelihood at the end</span></span>
-<span class="r-in"><span class="co"># The likelihood calculated for the nlmixr fit is much lower than that found by saemix</span></span>
-<span class="r-in"><span class="co"># Also, the trace plot and the plot of the individual predictions is not</span></span>
-<span class="r-in"><span class="co"># convincing for the parent. It seems we are fitting an overparameterised</span></span>
-<span class="r-in"><span class="co"># model, so the result we get strongly depends on starting parameters and control settings.</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span></span>
-<span class="r-in">  <span class="va">f_dmta_nlmixr_saem</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></span><span class="op">(</span><span class="va">f_dmta_mkin_tc</span>, est <span class="op">=</span> <span class="st">"saem"</span>,</span>
-<span class="r-in">    control <span class="op">=</span> <span class="fu">nlmixr</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/pkg/nlmixr/man/saemControl.html" class="external-link">saemControl</a></span><span class="op">(</span>print <span class="op">=</span> <span class="fl">500</span>, logLik <span class="op">=</span> <span class="cn">TRUE</span>, nmc <span class="op">=</span> <span class="fl">9</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> With est = 'saem', a different error model is required for each observed variableChanging the error model to 'obs_tc' (Two-component error for each observed variable)</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> parameter labels from comments are typically ignored in non-interactive mode</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> <span style="color: #00BBBB;">ℹ</span> Need to run with the source intact to parse comments</span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in eval(substitute(expr), data, enclos = parent.frame()):</span> Cannot run SAEM since some of the parameters are not mu-referenced (eta.f_DMTA_tffm0_1_qlogis, eta.f_DMTA_tffm0_2_qlogis, eta.f_DMTA_tffm0_3_qlogis)</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Timing stopped at: 0.892 0.004 0.896</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Timing stopped at: 1.096 0.005 1.1</span>
-<span class="r-in"><span class="fu">traceplot</span><span class="op">(</span><span class="va">f_dmta_nlmixr_saem</span><span class="op">$</span><span class="va">nm</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in traceplot(f_dmta_nlmixr_saem$nm):</span> could not find function "traceplot"</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_dmta_nlmixr_saem</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in summary(f_dmta_nlmixr_saem):</span> object 'f_dmta_nlmixr_saem' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_dmta_nlmixr_saem</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in plot(f_dmta_nlmixr_saem):</span> object 'f_dmta_nlmixr_saem' not found</span>
-<span class="r-in"><span class="co"># }</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       DT50   DT90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> DMTA 14.59  48.45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> M23  40.52 134.62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> M27  32.99 109.60</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> M31  37.11 123.26</span>
+<span class="r-in"><span><span class="co"># As the confidence interval for the random effects of DMTA_0</span></span></span>
+<span class="r-in"><span><span class="co"># includes zero, we could try an alternative model without</span></span></span>
+<span class="r-in"><span><span class="co"># such random effects</span></span></span>
+<span class="r-in"><span><span class="co"># f_dmta_saem_tc_2 &lt;- saem(dmta_sfo_sfo3p_tc,</span></span></span>
+<span class="r-in"><span><span class="co">#   covariance.model = diag(c(0, rep(1, 7))))</span></span></span>
+<span class="r-in"><span><span class="co"># saemix::plot(f_dmta_saem_tc_2$so, plot.type = "convergence")</span></span></span>
+<span class="r-in"><span><span class="co"># This does not perform better judged by AIC and BIC</span></span></span>
+<span class="r-in"><span><span class="co"># saemix::compare.saemix(f_dmta_saem_tc$so, f_dmta_saem_tc_2$so)</span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
   </div>
@@ -446,7 +321,7 @@ specific pieces of information in the comments.</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/endpoints.html b/docs/dev/reference/endpoints.html
index a472b054..ed72ec47 100644
--- a/docs/dev/reference/endpoints.html
+++ b/docs/dev/reference/endpoints.html
@@ -23,7 +23,7 @@ advantage that the SFORB model can also be used for metabolites."><meta name="ro
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -32,7 +32,7 @@ advantage that the SFORB model can also be used for metabolites."><meta name="ro
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -47,6 +47,9 @@ advantage that the SFORB model can also be used for metabolites."><meta name="ro
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -95,21 +98,24 @@ advantage that the SFORB model can also be used for metabolites.</p>
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">endpoints</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">endpoints</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>fit</dt>
-<dd><p>An object of class <a href="mkinfit.html">mkinfit</a>, <a href="nlme.mmkin.html">nlme.mmkin</a>, <a href="saem.html">saem.mmkin</a> or
-<a href="nlmixr.mmkin.html">nlmixr.mmkin</a>. Or another object that has list components
+<dd><p>An object of class <a href="mkinfit.html">mkinfit</a>, <a href="nlme.mmkin.html">nlme.mmkin</a> or <a href="saem.html">saem.mmkin</a>,
+or another object that has list components
 mkinmod containing an <a href="mkinmod.html">mkinmod</a> degradation model, and two numeric vectors,
 bparms.optim and bparms.fixed, that contain parameter values
 for that model.</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>A list with a matrix of dissipation times named distimes,
+    
+
+<p>A list with a matrix of dissipation times named distimes,
 and, if applicable, a vector of formation fractions named ff
 and, if the SFORB model was in use, a vector of eigenvalues
 of these SFORB models, equivalent to DFOP rate constants</p>
@@ -131,22 +137,22 @@ HS and DFOP, as well as from Eigenvalues b1 and b2 of any SFORB models</p>
 
     <div id="ref-examples">
     <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"></span>
-<span class="r-in">  <span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in">  <span class="fu">endpoints</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu">endpoints</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $distimes</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            DT50    DT90 DT50back</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent 1.785233 15.1479 4.559973</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in">  <span class="co"># \dontrun{</span></span>
-<span class="r-in">    <span class="va">fit_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in">    <span class="fu">endpoints</span><span class="op">(</span><span class="va">fit_2</span><span class="op">)</span></span>
+<span class="r-in"><span>  <span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span>    <span class="va">fit_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>    <span class="fu">endpoints</span><span class="op">(</span><span class="va">fit_2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $distimes</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            DT50     DT90 DT50back  DT50_k1  DT50_k2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent 1.886925 21.25106 6.397207 1.508293 38.83438</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in">    <span class="va">fit_3</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFORB"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in">    <span class="fu">endpoints</span><span class="op">(</span><span class="va">fit_3</span><span class="op">)</span></span>
+<span class="r-in"><span>    <span class="va">fit_3</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFORB"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>    <span class="fu">endpoints</span><span class="op">(</span><span class="va">fit_3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ff</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent_free </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>           1 </span>
@@ -159,8 +165,8 @@ HS and DFOP, as well as from Eigenvalues b1 and b2 of any SFORB models</p>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            DT50     DT90 DT50back DT50_parent_b1 DT50_parent_b2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent 1.886925 21.25106 6.397208       1.508293       38.83438</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in">  <span class="co"># }</span></span>
-<span class="r-in"></span>
+<span class="r-in"><span>  <span class="co"># }</span></span></span>
+<span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
   </div>
@@ -175,7 +181,7 @@ HS and DFOP, as well as from Eigenvalues b1 and b2 of any SFORB models</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/illparms.html b/docs/dev/reference/illparms.html
new file mode 100644
index 00000000..184299ed
--- /dev/null
+++ b/docs/dev/reference/illparms.html
@@ -0,0 +1,207 @@
+<!DOCTYPE html>
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+with mkinfit and mmkin checks if the degradation parameters
+pass the Wald test (in degradation kinetics often simply called t-test) for
+significant difference from zero. For this test, the parameterisation
+without parameter transformations is used."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+      </header><div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Method to get the names of ill-defined parameters</h1>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/illparms.R" class="external-link"><code>R/illparms.R</code></a></small>
+    <div class="hidden name"><code>illparms.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>The method for generalised nonlinear regression fits as obtained
+with <a href="mkinfit.html">mkinfit</a> and <a href="mmkin.html">mmkin</a> checks if the degradation parameters
+pass the Wald test (in degradation kinetics often simply called t-test) for
+significant difference from zero. For this test, the parameterisation
+without parameter transformations is used.</p>
+    </div>
+
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">illparms</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for mkinfit</span></span>
+<span><span class="fu">illparms</span><span class="op">(</span><span class="va">object</span>, conf.level <span class="op">=</span> <span class="fl">0.95</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for mmkin</span></span>
+<span><span class="fu">illparms</span><span class="op">(</span><span class="va">object</span>, conf.level <span class="op">=</span> <span class="fl">0.95</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for illparms.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for saem.mmkin</span></span>
+<span><span class="fu">illparms</span><span class="op">(</span><span class="va">object</span>, conf.level <span class="op">=</span> <span class="fl">0.95</span>, random <span class="op">=</span> <span class="cn">TRUE</span>, errmod <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for mhmkin</span></span>
+<span><span class="fu">illparms</span><span class="op">(</span><span class="va">object</span>, conf.level <span class="op">=</span> <span class="fl">0.95</span>, random <span class="op">=</span> <span class="cn">TRUE</span>, errmod <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for illparms.mhmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>object</dt>
+<dd><p>The object to investigate</p></dd>
+
+
+<dt>...</dt>
+<dd><p>For potential future extensions</p></dd>
+
+
+<dt>conf.level</dt>
+<dd><p>The confidence level for checking p values</p></dd>
+
+
+<dt>x</dt>
+<dd><p>The object to be printed</p></dd>
+
+
+<dt>random</dt>
+<dd><p>For hierarchical fits, should random effects be tested?</p></dd>
+
+
+<dt>errmod</dt>
+<dd><p>For hierarchical fits, should error model parameters be
+tested?</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>For <a href="mkinfit.html">mkinfit</a> or <a href="saem.html">saem</a> objects, a character vector of parameter
+names. For <a href="mmkin.html">mmkin</a> or <a href="mhmkin.html">mhmkin</a> objects, a matrix like object of class
+'illparms.mmkin' or 'illparms.mhmkin'. The latter objects have a suitable
+printing method.</p>
+    </div>
+    <div id="details">
+    <h2>Details</h2>
+    <p>The method for hierarchical model fits, also known as nonlinear
+mixed-effects model fits as obtained with <a href="saem.html">saem</a> and <a href="mhmkin.html">mhmkin</a>
+checks if any of the confidence intervals for the random
+effects expressed as standard deviations include zero, and if
+the confidence intervals for the error model parameters include
+zero.</p>
+    </div>
+
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_A</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">illparms</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "parent_0" "alpha"    "beta"     "sigma"   </span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS A"</span> <span class="op">=</span> <span class="va">FOCUS_2006_A</span>,</span></span>
+<span class="r-in"><span>       <span class="st">"FOCUS C"</span> <span class="op">=</span> <span class="va">FOCUS_2006_C</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">illparms</span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       dataset</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> model  FOCUS A                      FOCUS C</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   SFO                                      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   FOMC parent_0, alpha, beta, sigma        </span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
+</div>
+
+
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
+</div>
+
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+
+  
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+  
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+
diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html
index afd3692d..98f170b6 100644
--- a/docs/dev/reference/index.html
+++ b/docs/dev/reference/index.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -95,9 +98,27 @@
         <td><p>Fit one or more kinetic models with one or more state variables to one or
 more datasets</p></td>
       </tr><tr><td>
-          <p><code><a href="nafta.html">nafta()</a></code> <code><a href="nafta.html">print(<i>&lt;nafta&gt;</i>)</a></code> </p>
+          <p><code><a href="mhmkin.html">mhmkin()</a></code> <code><a href="mhmkin.html">`[`(<i>&lt;mhmkin&gt;</i>)</a></code> <code><a href="mhmkin.html">print(<i>&lt;mhmkin&gt;</i>)</a></code> </p>
         </td>
-        <td><p>Evaluate parent kinetics using the NAFTA guidance</p></td>
+        <td><p>Fit nonlinear mixed-effects models built from one or more kinetic
+degradation models and one or more error models</p></td>
+      </tr></tbody><tbody><tr><th colspan="2">
+          <h2 id="generics">Generics <a href="#generics" class="anchor" aria-hidden="true"></a></h2>
+          <p class="section-desc"></p><p>Generic functions introduced by the package</p>
+        </th>
+      </tr></tbody><tbody><tr><td>
+          <p><code><a href="convergence.html">convergence()</a></code> <code><a href="convergence.html">print(<i>&lt;convergence.mmkin&gt;</i>)</a></code> </p>
+        </td>
+        <td><p>Method to get convergence information</p></td>
+      </tr><tr><td>
+          <p><code><a href="illparms.html">illparms()</a></code> <code><a href="illparms.html">print(<i>&lt;illparms.mmkin&gt;</i>)</a></code> <code><a href="illparms.html">print(<i>&lt;illparms.mhmkin&gt;</i>)</a></code> </p>
+        </td>
+        <td><p>Method to get the names of ill-defined parameters</p></td>
+      </tr><tr><td>
+          <p><code><a href="endpoints.html">endpoints()</a></code> </p>
+        </td>
+        <td><p>Function to calculate endpoints for further use from kinetic models fitted
+with mkinfit</p></td>
       </tr></tbody><tbody><tr><th colspan="2">
           <h2 id="show-results">Show results <a href="#show-results" class="anchor" aria-hidden="true"></a></h2>
           <p class="section-desc"></p><p>Functions working with mkinfit objects</p>
@@ -135,11 +156,6 @@ more datasets</p></td>
         </td>
         <td><p>Calculate the minimum error to assume in order to pass the variance test</p></td>
       </tr><tr><td>
-          <p><code><a href="endpoints.html">endpoints()</a></code> </p>
-        </td>
-        <td><p>Function to calculate endpoints for further use from kinetic models fitted
-with mkinfit</p></td>
-      </tr><tr><td>
           <p><code><a href="aw.html">aw()</a></code> </p>
         </td>
         <td><p>Calculate Akaike weights for model averaging</p></td>
@@ -164,9 +180,13 @@ of an mmkin object</p></td>
           <p><code><a href="AIC.mmkin.html">AIC(<i>&lt;mmkin&gt;</i>)</a></code> <code><a href="AIC.mmkin.html">BIC(<i>&lt;mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Calculate the AIC for a column of an mmkin object</p></td>
+      </tr><tr><td>
+          <p><code><a href="summary.mmkin.html">summary(<i>&lt;mmkin&gt;</i>)</a></code> <code><a href="summary.mmkin.html">print(<i>&lt;summary.mmkin&gt;</i>)</a></code> </p>
+        </td>
+        <td><p>Summary method for class "mmkin"</p></td>
       </tr></tbody><tbody><tr><th colspan="2">
           <h2 id="mixed-models">Mixed models <a href="#mixed-models" class="anchor" aria-hidden="true"></a></h2>
-          <p class="section-desc"></p><p>Create and work with nonlinear mixed effects models</p>
+          <p class="section-desc"></p><p>Create and work with nonlinear hierarchical models</p>
         </th>
       </tr></tbody><tbody><tr><td>
           <p><code><a href="nlme.mmkin.html">nlme(<i>&lt;mmkin&gt;</i>)</a></code> <code><a href="nlme.mmkin.html">print(<i>&lt;nlme.mmkin&gt;</i>)</a></code> <code><a href="nlme.mmkin.html">update(<i>&lt;nlme.mmkin&gt;</i>)</a></code> </p>
@@ -177,9 +197,10 @@ of an mmkin object</p></td>
         </td>
         <td><p>Fit nonlinear mixed models with SAEM</p></td>
       </tr><tr><td>
-          <p><code><a href="nlmixr.mmkin.html">nlmixr(<i>&lt;mmkin&gt;</i>)</a></code> <code><a href="nlmixr.mmkin.html">print(<i>&lt;nlmixr.mmkin&gt;</i>)</a></code> <code><a href="nlmixr.mmkin.html">nlmixr_model()</a></code> <code><a href="nlmixr.mmkin.html">nlmixr_data()</a></code> </p>
+          <p><code><a href="mhmkin.html">mhmkin()</a></code> <code><a href="mhmkin.html">`[`(<i>&lt;mhmkin&gt;</i>)</a></code> <code><a href="mhmkin.html">print(<i>&lt;mhmkin&gt;</i>)</a></code> </p>
         </td>
-        <td><p>Fit nonlinear mixed models using nlmixr</p></td>
+        <td><p>Fit nonlinear mixed-effects models built from one or more kinetic
+degradation models and one or more error models</p></td>
       </tr><tr><td>
           <p><code><a href="plot.mixed.mmkin.html">plot(<i>&lt;mixed.mmkin&gt;</i>)</a></code> </p>
         </td>
@@ -189,10 +210,6 @@ of an mmkin object</p></td>
         </td>
         <td><p>Summary method for class "nlme.mmkin"</p></td>
       </tr><tr><td>
-          <p><code><a href="summary.nlmixr.mmkin.html">summary(<i>&lt;nlmixr.mmkin&gt;</i>)</a></code> <code><a href="summary.nlmixr.mmkin.html">print(<i>&lt;summary.nlmixr.mmkin&gt;</i>)</a></code> </p>
-        </td>
-        <td><p>Summary method for class "nlmixr.mmkin"</p></td>
-      </tr><tr><td>
           <p><code><a href="summary.saem.mmkin.html">summary(<i>&lt;saem.mmkin&gt;</i>)</a></code> <code><a href="summary.saem.mmkin.html">print(<i>&lt;summary.saem.mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Summary method for class "saem.mmkin"</p></td>
@@ -209,17 +226,13 @@ of an mmkin object</p></td>
         </td>
         <td><p>Create a mixed effects model from an mmkin row object</p></td>
       </tr><tr><td>
-          <p><code><a href="reexports.html">reexports</a></code> </p>
+          <p><code><a href="reexports.html">reexports</a></code> <code><a href="reexports.html">intervals</a></code> <code><a href="reexports.html">lrtest</a></code> <code><a href="reexports.html">nlme</a></code> </p>
         </td>
         <td><p>Objects exported from other packages</p></td>
       </tr><tr><td>
           <p><code><a href="intervals.saem.mmkin.html">intervals(<i>&lt;saem.mmkin&gt;</i>)</a></code> </p>
         </td>
         <td><p>Confidence intervals for parameters in saem.mmkin objects</p></td>
-      </tr><tr><td>
-          <p><code><a href="intervals.nlmixr.mmkin.html">intervals(<i>&lt;nlmixr.mmkin&gt;</i>)</a></code> </p>
-        </td>
-        <td><p>Confidence intervals for parameters in nlmixr.mmkin objects</p></td>
       </tr></tbody><tbody><tr><th colspan="2">
           <h2 id="datasets-and-known-results">Datasets and known results <a href="#datasets-and-known-results" class="anchor" aria-hidden="true"></a></h2>
           <p class="section-desc"></p>
@@ -342,10 +355,6 @@ kinetic models fitted with mkinfit</p></td>
         </td>
         <td><p>Function to perform isometric log-ratio transformation</p></td>
       </tr><tr><td>
-          <p><code><a href="tffm0.html">tffm0()</a></code> <code><a href="tffm0.html">invtffm0()</a></code> </p>
-        </td>
-        <td><p>Transform formation fractions as in the first published mkin version</p></td>
-      </tr><tr><td>
           <p><code><a href="logLik.mkinfit.html">logLik(<i>&lt;mkinfit&gt;</i>)</a></code> </p>
         </td>
         <td><p>Calculated the log-likelihood of a fitted mkinfit object</p></td>
@@ -442,7 +451,7 @@ kinetic models fitted with mkinfit</p></td>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/intervals.saem.mmkin.html b/docs/dev/reference/intervals.saem.mmkin.html
index 8e6a348b..ee714ad0 100644
--- a/docs/dev/reference/intervals.saem.mmkin.html
+++ b/docs/dev/reference/intervals.saem.mmkin.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -84,27 +87,36 @@
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="co"># S3 method for saem.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html" class="external-link">intervals</a></span><span class="op">(</span><span class="va">object</span>, level <span class="op">=</span> <span class="fl">0.95</span>, backtransform <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for saem.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html" class="external-link">intervals</a></span><span class="op">(</span><span class="va">object</span>, level <span class="op">=</span> <span class="fl">0.95</span>, backtransform <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>object</dt>
 <dd><p>The fitted saem.mmkin object</p></dd>
+
+
 <dt>level</dt>
 <dd><p>The confidence level. Must be the default of 0.95 as this is what
 is available in the saemix object</p></dd>
+
+
 <dt>backtransform</dt>
 <dd><p>In case the model was fitted with mkin transformations,
 should we backtransform the parameters where a one to one correlation
 between transformed and backtransformed parameters exists?</p></dd>
+
+
 <dt>...</dt>
 <dd><p>For compatibility with the generic method</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
+    
+
+<p>An object with 'intervals.saem.mmkin' and 'intervals.lme' in the
 class attribute</p>
     </div>
 
@@ -120,7 +132,7 @@ class attribute</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/mean_degparms.html b/docs/dev/reference/mean_degparms.html
index d348fa74..67db1868 100644
--- a/docs/dev/reference/mean_degparms.html
+++ b/docs/dev/reference/mean_degparms.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -84,26 +87,47 @@
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">mean_degparms</span><span class="op">(</span><span class="va">object</span>, random <span class="op">=</span> <span class="cn">FALSE</span>, test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>, conf.level <span class="op">=</span> <span class="fl">0.6</span><span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mean_degparms</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  random <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span>
+<span>  default_log_parms <span class="op">=</span> <span class="cn">NA</span></span>
+<span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>object</dt>
 <dd><p>An mmkin row object containing several fits of the same model to different datasets</p></dd>
+
+
 <dt>random</dt>
 <dd><p>Should a list with fixed and random effects be returned?</p></dd>
+
+
 <dt>test_log_parms</dt>
 <dd><p>If TRUE, log parameters are only considered in
 the mean calculations if their untransformed counterparts (most likely
 rate constants) pass the t-test for significant difference from zero.</p></dd>
+
+
 <dt>conf.level</dt>
 <dd><p>Possibility to adjust the required confidence level
 for parameter that are tested if requested by 'test_log_parms'.</p></dd>
+
+
+<dt>default_log_parms</dt>
+<dd><p>If set to a numeric value, this is used
+as a default value for the tested log parameters that failed the
+t-test.</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>If random is FALSE (default), a named vector containing mean values
+    
+
+<p>If random is FALSE (default), a named vector containing mean values
 of the fitted degradation model parameters. If random is TRUE, a list with
 fixed and random effects, in the format required by the start argument of
 nlme for the case of a single grouping variable ds.</p>
@@ -121,7 +145,7 @@ nlme for the case of a single grouping variable ds.</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/mhmkin.html b/docs/dev/reference/mhmkin.html
new file mode 100644
index 00000000..e77aace3
--- /dev/null
+++ b/docs/dev/reference/mhmkin.html
@@ -0,0 +1,213 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Fit nonlinear mixed-effects models built from one or more kinetic
+degradation models and one or more error models — mhmkin • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Fit nonlinear mixed-effects models built from one or more kinetic
+degradation models and one or more error models — mhmkin"><meta property="og:description" content="The name of the methods expresses that (multiple) hierarchichal
+(also known as multilevel) multicompartment kinetic models are
+fitted. Our kinetic models are nonlinear, so we can use various nonlinear
+mixed-effects model fitting functions."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
+<script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
+<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
+
+    <div class="container template-reference-topic">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
+  <div class="container">
+    <div class="navbar-header">
+      <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
+        <span class="sr-only">Toggle navigation</span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+        <span class="icon-bar"></span>
+      </button>
+      <span class="navbar-brand">
+        <a class="navbar-link" href="../index.html">mkin</a>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
+      </span>
+    </div>
+
+    <div id="navbar" class="navbar-collapse collapse">
+      <ul class="nav navbar-nav"><li>
+  <a href="../reference/index.html">Functions and data</a>
+</li>
+<li class="dropdown">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
+    Articles
+     
+    <span class="caret"></span>
+  </a>
+  <ul class="dropdown-menu" role="menu"><li>
+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul></li>
+<li>
+  <a href="../news/index.html">News</a>
+</li>
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="https://github.com/jranke/mkin/" class="external-link">
+    <span class="fab fa-github fa-lg"></span>
+     
+  </a>
+</li>
+      </ul></div><!--/.nav-collapse -->
+  </div><!--/.container -->
+</div><!--/.navbar -->
+
+      
+
+      </header><div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Fit nonlinear mixed-effects models built from one or more kinetic
+degradation models and one or more error models</h1>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/mhmkin.R" class="external-link"><code>R/mhmkin.R</code></a></small>
+    <div class="hidden name"><code>mhmkin.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>The name of the methods expresses that (<strong>m</strong>ultiple) <strong>h</strong>ierarchichal
+(also known as multilevel) <strong>m</strong>ulticompartment <strong>kin</strong>etic models are
+fitted. Our kinetic models are nonlinear, so we can use various nonlinear
+mixed-effects model fitting functions.</p>
+    </div>
+
+    <div id="ref-usage">
+    <div class="sourceCode"><pre><code>mhmkin(objects, backend = "saemix", algorithm = "saem", ...)
+
+# S3 method for list
+mhmkin(
+  objects,
+  backend = "saemix",
+  ...,
+  cores = if (Sys.info()["sysname"] == "Windows") 1 else parallel::detectCores(),
+  cluster = NULL
+)
+
+# S3 method for mhmkin
+[(x, i, j, ..., drop = FALSE)
+
+# S3 method for mhmkin
+print(x, ...)</code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>objects</dt>
+<dd><p>A list of <a href="mmkin.html">mmkin</a> objects containing fits of the same
+degradation models to the same data, but using different error models.</p></dd>
+
+
+<dt>backend</dt>
+<dd><p>The backend to be used for fitting. Currently, only saemix is
+supported</p></dd>
+
+
+<dt>algorithm</dt>
+<dd><p>The algorithm to be used for fitting (currently not used)</p></dd>
+
+
+<dt>...</dt>
+<dd><p>Further arguments that will be passed to the nonlinear mixed-effects
+model fitting function.</p></dd>
+
+
+<dt>cores</dt>
+<dd><p>The number of cores to be used for multicore processing. This
+is only used when the <code>cluster</code> argument is <code>NULL</code>. On Windows
+machines, cores &gt; 1 is not supported, you need to use the <code>cluster</code>
+argument to use multiple logical processors. Per default, all cores detected
+by <code><a href="https://rdrr.io/r/parallel/detectCores.html" class="external-link">parallel::detectCores()</a></code> are used, except on Windows where the default
+is 1.</p></dd>
+
+
+<dt>cluster</dt>
+<dd><p>A cluster as returned by makeCluster to be used for
+parallel execution.</p></dd>
+
+
+<dt>x</dt>
+<dd><p>An mhmkin object.</p></dd>
+
+
+<dt>i</dt>
+<dd><p>Row index selecting the fits for specific models</p></dd>
+
+
+<dt>j</dt>
+<dd><p>Column index selecting the fits to specific datasets</p></dd>
+
+
+<dt>drop</dt>
+<dd><p>If FALSE, the method always returns an mhmkin object, otherwise
+either a list of fit objects or a single fit object.</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>A two-dimensional <a href="https://rdrr.io/r/base/array.html" class="external-link">array</a> of fit objects and/or try-errors that can
+be indexed using the degradation model names for the first index (row index)
+and the error model names for the second index (column index), with class
+attribute 'mhmkin'.</p>
+
+
+<p>An object of class <code>mhmkin</code>.</p>
+    </div>
+    <div id="see-also">
+    <h2>See also</h2>
+    <div class="dont-index"><p><code>[.mhmkin</code> for subsetting mhmkin objects</p></div>
+    </div>
+    <div id="author">
+    <h2>Author</h2>
+    <p>Johannes Ranke</p>
+    </div>
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
+</div>
+
+
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
+</div>
+
+      </footer></div>
+
+  
+
+
+  
+
+  </body></html>
+
diff --git a/docs/dev/reference/mkinds.html b/docs/dev/reference/mkinds.html
index 0d1de46d..b571e3a0 100644
--- a/docs/dev/reference/mkinds.html
+++ b/docs/dev/reference/mkinds.html
@@ -1,70 +1,15 @@
-<!-- Generated by pkgdown: do not edit by hand -->
 <!DOCTYPE html>
-<html lang="en">
-  <head>
-  <meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-
-<title>A dataset class for mkin — mkinds • mkin</title>
-
-
-<!-- jquery -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
-<!-- Bootstrap -->
-
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
-
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
-
-<!-- bootstrap-toc -->
-<link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script>
-
-<!-- Font Awesome icons -->
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
-
-<!-- clipboard.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
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-<meta property="og:description" content="At the moment this dataset class is hardly used in mkin. For example,
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>A dataset class for mkin — mkinds • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="A dataset class for mkin — mkinds"><meta property="og:description" content="At the moment this dataset class is hardly used in mkin. For example,
 mkinfit does not take mkinds datasets as argument, but works with dataframes
 such as the on contained in the data field of mkinds objects. Some datasets
-provided by this package come as mkinds objects nevertheless." />
-
-
-<meta name="robots" content="noindex">
-
-<!-- mathjax -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
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-
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+provided by this package come as mkinds objects nevertheless."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
-
-
-
-  </head>
+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
-  <body data-spy="scroll" data-target="#toc">
     <div class="container template-reference-topic">
-      <header>
-      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
     <div class="navbar-header">
       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -75,23 +20,21 @@ provided by this package come as mkinds objects nevertheless." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
     <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
   </a>
-  <ul class="dropdown-menu" role="menu">
-    <li>
+  <ul class="dropdown-menu" role="menu"><li>
       <a href="../articles/mkin.html">Introduction to mkin</a>
     </li>
     <li>
@@ -101,6 +44,9 @@ provided by this package come as mkinds objects nevertheless." />
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -115,34 +61,27 @@ provided by this package come as mkinds objects nevertheless." />
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
-  </ul>
-</li>
+  </ul></li>
 <li>
   <a href="../news/index.html">News</a>
 </li>
-      </ul>
-      <ul class="nav navbar-nav navbar-right">
-        <li>
-  <a href="https://github.com/jranke/mkin/">
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
-      </ul>
-      
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+      </ul></div><!--/.nav-collapse -->
   </div><!--/.container -->
 </div><!--/.navbar -->
 
       
 
-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>A dataset class for mkin</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/mkinds.R'><code>R/mkinds.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/mkinds.R" class="external-link"><code>R/mkinds.R</code></a></small>
     <div class="hidden name"><code>mkinds.Rd</code></div>
     </div>
 
@@ -153,118 +92,148 @@ such as the on contained in the data field of mkinds objects. Some datasets
 provided by this package come as mkinds objects nevertheless.</p>
     </div>
 
-    <pre class="usage"><span class='co'># S3 method for mkinds</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, data <span class='op'>=</span> <span class='cn'>FALSE</span>, <span class='va'>...</span><span class='op'>)</span></pre>
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mkinds</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, data <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>x</dt>
+<dd><p>An mkinds object.</p></dd>
+
+
+<dt>data</dt>
+<dd><p>Should the data be printed?</p></dd>
+
+
+<dt>...</dt>
+<dd><p>Not used.</p></dd>
 
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>x</th>
-      <td><p>An mkinds object.</p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>Should the data be printed?</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>Not used.</p></td>
-    </tr>
-    </table>
+</dl></div>
+    <div id="public-fields">
+    <h2>Public fields</h2>
+    <p></p><div class="r6-fields"><dl><dt><code>title</code></dt>
+<dd><p>A full title for the dataset</p></dd>
 
-    <h2 class="hasAnchor" id="public-fields"><a class="anchor" href="#public-fields"></a>Public fields</h2>
 
-    <p><div class="r6-fields"></p><dl>
-<dt><code>title</code></dt><dd><p>A full title for the dataset</p></dd>
+<dt><code>sampling_times</code></dt>
+<dd><p>The sampling times</p></dd>
 
-<dt><code>sampling_times</code></dt><dd><p>The sampling times</p></dd>
 
-<dt><code>time_unit</code></dt><dd><p>The time unit</p></dd>
+<dt><code>time_unit</code></dt>
+<dd><p>The time unit</p></dd>
 
-<dt><code>observed</code></dt><dd><p>Names of the observed variables</p></dd>
 
-<dt><code>unit</code></dt><dd><p>The unit of the observations</p></dd>
+<dt><code>observed</code></dt>
+<dd><p>Names of the observed variables</p></dd>
 
-<dt><code>replicates</code></dt><dd><p>The maximum number of replicates per sampling time</p></dd>
 
-<dt><code>data</code></dt><dd><p>A data frame with at least the columns name, time
+<dt><code>unit</code></dt>
+<dd><p>The unit of the observations</p></dd>
+
+
+<dt><code>replicates</code></dt>
+<dd><p>The maximum number of replicates per sampling time</p></dd>
+
+
+<dt><code>data</code></dt>
+<dd><p>A data frame with at least the columns name, time
 and value in order to be compatible with mkinfit</p></dd>
 
-</dl><p></div></p>
-    <h2 class="hasAnchor" id="methods"><a class="anchor" href="#methods"></a>Methods</h2>
 
+</dl><p></p></div>
+    </div>
+    <div id="methods">
+    <h2>Methods</h2>
     
-<h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Public methods</h3>
+<div class="section">
+<h3 id="public-methods">Public methods<a class="anchor" aria-label="anchor" href="#public-methods"></a></h3>
+
+<ul><li><p><a href="#method-mkinds-new"><code>mkinds$new()</code></a></p></li>
+<li><p><a href="#method-mkinds-clone"><code>mkinds$clone()</code></a></p></li>
+</ul></div><p></p><hr><a id="method-mkinds-new"></a><div class="section">
+<h3 id="method-new-">Method <code>new()</code><a class="anchor" aria-label="anchor" href="#method-new-"></a></h3>
+<p>Create a new mkinds object</p><div class="section">
+<h4 id="usage">Usage<a class="anchor" aria-label="anchor" href="#usage"></a></h4>
+<p></p><div class="r"><div class="sourceCode"><pre><code><span><span class="va"><a href="../reference/mkinds.html">mkinds</a></span><span class="op">$</span><span class="fu">new</span><span class="op">(</span>title <span class="op">=</span> <span class="st">""</span>, <span class="va">data</span>, time_unit <span class="op">=</span> <span class="cn">NA</span>, unit <span class="op">=</span> <span class="cn">NA</span><span class="op">)</span></span></code></pre></div><p></p></div>
+</div>
 
-<ul>
-<li><p><a href='#method-new'><code>mkinds$new()</code></a></p></li>
-<li><p><a href='#method-clone'><code>mkinds$clone()</code></a></p></li>
-</ul>
-<p><hr>
-<a id="method-new"></a></p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Method <code>new()</code></h3>
-<p>Create a new mkinds object</p><h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Usage</h4>
-<p><div class="r"></p><pre><span class='va'>mkinds</span><span class='op'>$</span><span class='fu'>new</span><span class='op'>(</span>title <span class='op'>=</span> <span class='st'>""</span>, <span class='va'>data</span>, time_unit <span class='op'>=</span> <span class='cn'>NA</span>, unit <span class='op'>=</span> <span class='cn'>NA</span><span class='op'>)</span></pre><p></div></p>
+<div class="section">
+<h4 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h4>
+<p></p><div class="arguments"><dl><dt><code>title</code></dt>
+<dd><p>The dataset title</p></dd>
 
-<h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Arguments</h4>
-<p><div class="arguments"></p><dl>
-<dt><code>title</code></dt><dd><p>The dataset title</p></dd>
 
-<dt><code>data</code></dt><dd><p>The data</p></dd>
+<dt><code>data</code></dt>
+<dd><p>The data</p></dd>
 
-<dt><code>time_unit</code></dt><dd><p>The time unit</p></dd>
 
-<dt><code>unit</code></dt><dd><p>The unit of the observations</p></dd>
+<dt><code>time_unit</code></dt>
+<dd><p>The time unit</p></dd>
 
-</dl><p></div></p>
-<p><hr>
-<a id="method-clone"></a></p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Method <code>clone()</code></h3>
-<p>The objects of this class are cloneable with this method.</p><h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Usage</h4>
-<p><div class="r"></p><pre><span class='va'>mkinds</span><span class='op'>$</span><span class='fu'>clone</span><span class='op'>(</span>deep <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></pre><p></div></p>
 
-<h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Arguments</h4>
-<p><div class="arguments"></p><dl>
-<dt><code>deep</code></dt><dd><p>Whether to make a deep clone.</p></dd>
+<dt><code>unit</code></dt>
+<dd><p>The unit of the observations</p></dd>
 
-</dl><p></div></p>
 
+</dl><p></p></div>
+</div>
+
+</div><p></p><hr><a id="method-mkinds-clone"></a><div class="section">
+<h3 id="method-clone-">Method <code>clone()</code><a class="anchor" aria-label="anchor" href="#method-clone-"></a></h3>
+<p>The objects of this class are cloneable with this method.</p><div class="section">
+<h4 id="usage-1">Usage<a class="anchor" aria-label="anchor" href="#usage-1"></a></h4>
+<p></p><div class="r"><div class="sourceCode"><pre><code><span><span class="va">mkinds</span><span class="op">$</span><span class="fu">clone</span><span class="op">(</span>deep <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div><p></p></div>
+</div>
+
+<div class="section">
+<h4 id="arguments-1">Arguments<a class="anchor" aria-label="anchor" href="#arguments-1"></a></h4>
+<p></p><div class="arguments"><dl><dt><code>deep</code></dt>
+<dd><p>Whether to make a deep clone.</p></dd>
 
 
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-<span class='va'>mds</span> <span class='op'>&lt;-</span> <span class='va'>mkinds</span><span class='op'>$</span><span class='fu'>new</span><span class='op'>(</span><span class='st'>"FOCUS A"</span>, <span class='va'>FOCUS_2006_A</span><span class='op'>)</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mds</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkinds&gt; with $title:  FOCUS A 
-#&gt; Observed compounds $observed:  parent 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 3, 7, 14, 30, 62, 90, 118 
-#&gt; With a maximum of  1  replicates</div><div class='input'>
-</div></pre>
+</dl><p></p></div>
+</div>
+
+</div>
+
+    </div>
+
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">mds</span> <span class="op">&lt;-</span> <span class="va">mkinds</span><span class="op">$</span><span class="fu">new</span><span class="op">(</span><span class="st">"FOCUS A"</span>, <span class="va">FOCUS_2006_A</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">mds</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  FOCUS A </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 3, 7, 14, 30, 62, 90, 118 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  1  replicates</span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
-      </footer>
-   </div>
+      </footer></div>
 
   
 
 
-  </body>
-</html>
+  
 
+  </body></html>
 
diff --git a/docs/dev/reference/mkindsg.html b/docs/dev/reference/mkindsg.html
index 67c6e5df..d19a7a1d 100644
--- a/docs/dev/reference/mkindsg.html
+++ b/docs/dev/reference/mkindsg.html
@@ -1,70 +1,15 @@
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 <!DOCTYPE html>
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-  <meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
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-
-<title>A class for dataset groups for mkin — mkindsg • mkin</title>
-
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 so that combined evaluations are desirable.
 Time normalisation factors are initialised with a value of 1 for each
-dataset if no data are supplied." />
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       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -75,23 +20,21 @@ dataset if no data are supplied." />
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       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
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-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
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 </li>
 <li class="dropdown">
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+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
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-  <ul class="dropdown-menu" role="menu">
-    <li>
+  <ul class="dropdown-menu" role="menu"><li>
       <a href="../articles/mkin.html">Introduction to mkin</a>
     </li>
     <li>
@@ -101,6 +44,9 @@ dataset if no data are supplied." />
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -115,34 +61,27 @@ dataset if no data are supplied." />
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
-  </ul>
-</li>
+  </ul></li>
 <li>
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-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>A class for dataset groups for mkin</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/mkinds.R'><code>R/mkinds.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/mkinds.R" class="external-link"><code>R/mkinds.R</code></a></small>
     <div class="hidden name"><code>mkindsg.Rd</code></div>
     </div>
 
@@ -153,308 +92,336 @@ so that combined evaluations are desirable.</p>
 dataset if no data are supplied.</p>
     </div>
 
-    <pre class="usage"><span class='co'># S3 method for mkindsg</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, data <span class='op'>=</span> <span class='cn'>FALSE</span>, verbose <span class='op'>=</span> <span class='va'>data</span>, <span class='va'>...</span><span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>x</th>
-      <td><p>An mkindsg object.</p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>Should the mkinds objects be printed with their data?</p></td>
-    </tr>
-    <tr>
-      <th>verbose</th>
-      <td><p>Should the mkinds objects be printed?</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>Not used.</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="public-fields"><a class="anchor" href="#public-fields"></a>Public fields</h2>
-
-    <p><div class="r6-fields"></p><dl>
-<dt><code>title</code></dt><dd><p>A title for the dataset group</p></dd>
-
-<dt><code>ds</code></dt><dd><p>A list of mkinds objects</p></dd>
-
-<dt><code>observed_n</code></dt><dd><p>Occurrence counts of compounds in datasets</p></dd>
-
-<dt><code>f_time_norm</code></dt><dd><p>Time normalisation factors</p></dd>
-
-<dt><code>meta</code></dt><dd><p>A data frame with a row for each dataset,
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mkindsg</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, data <span class="op">=</span> <span class="cn">FALSE</span>, verbose <span class="op">=</span> <span class="va">data</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>x</dt>
+<dd><p>An mkindsg object.</p></dd>
+
+
+<dt>data</dt>
+<dd><p>Should the mkinds objects be printed with their data?</p></dd>
+
+
+<dt>verbose</dt>
+<dd><p>Should the mkinds objects be printed?</p></dd>
+
+
+<dt>...</dt>
+<dd><p>Not used.</p></dd>
+
+</dl></div>
+    <div id="public-fields">
+    <h2>Public fields</h2>
+    <p></p><div class="r6-fields"><dl><dt><code>title</code></dt>
+<dd><p>A title for the dataset group</p></dd>
+
+
+<dt><code>ds</code></dt>
+<dd><p>A list of mkinds objects</p></dd>
+
+
+<dt><code>observed_n</code></dt>
+<dd><p>Occurrence counts of compounds in datasets</p></dd>
+
+
+<dt><code>f_time_norm</code></dt>
+<dd><p>Time normalisation factors</p></dd>
+
+
+<dt><code>meta</code></dt>
+<dd><p>A data frame with a row for each dataset,
 containing additional information in the form
 of categorical data (factors) or numerical data
 (e.g. temperature, moisture,
 or covariates like soil pH).</p></dd>
 
-</dl><p></div></p>
-    <h2 class="hasAnchor" id="methods"><a class="anchor" href="#methods"></a>Methods</h2>
 
+</dl><p></p></div>
+    </div>
+    <div id="methods">
+    <h2>Methods</h2>
     
-<h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Public methods</h3>
-
-<ul>
-<li><p><a href='#method-new'><code>mkindsg$new()</code></a></p></li>
-<li><p><a href='#method-clone'><code>mkindsg$clone()</code></a></p></li>
-</ul>
-<p><hr>
-<a id="method-new"></a></p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Method <code>new()</code></h3>
-<p>Create a new mkindsg object</p><h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Usage</h4>
-<p><div class="r"></p><pre><span class='va'>mkindsg</span><span class='op'>$</span><span class='fu'>new</span><span class='op'>(</span>title <span class='op'>=</span> <span class='st'>""</span>, <span class='va'>ds</span>, f_time_norm <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='fl'>1</span>, <span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>ds</span><span class='op'>)</span><span class='op'>)</span>, <span class='va'>meta</span><span class='op'>)</span></pre><p></div></p>
-
-<h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Arguments</h4>
-<p><div class="arguments"></p><dl>
-<dt><code>title</code></dt><dd><p>The title</p></dd>
-
-<dt><code>ds</code></dt><dd><p>A list of mkinds objects</p></dd>
-
-<dt><code>f_time_norm</code></dt><dd><p>Time normalisation factors</p></dd>
-
-<dt><code>meta</code></dt><dd><p>The meta data</p></dd>
-
-</dl><p></div></p>
-<p><hr>
-<a id="method-clone"></a></p><h3 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Method <code>clone()</code></h3>
-<p>The objects of this class are cloneable with this method.</p><h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Usage</h4>
-<p><div class="r"></p><pre><span class='va'>mkindsg</span><span class='op'>$</span><span class='fu'>clone</span><span class='op'>(</span>deep <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span></pre><p></div></p>
-
-<h4 class='hasAnchor' id='arguments'><a class='anchor' href='#arguments'></a>Arguments</h4>
-<p><div class="arguments"></p><dl>
-<dt><code>deep</code></dt><dd><p>Whether to make a deep clone.</p></dd>
-
-</dl><p></div></p>
-
-
-
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-<span class='va'>mdsg</span> <span class='op'>&lt;-</span> <span class='va'>mkindsg</span><span class='op'>$</span><span class='fu'>new</span><span class='op'>(</span><span class='st'>"Experimental X"</span>, <span class='va'>experimental_data_for_UBA_2019</span><span class='op'>[</span><span class='fl'>6</span><span class='op'>:</span><span class='fl'>10</span><span class='op'>]</span><span class='op'>)</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mdsg</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
-#&gt; Title $title:  Experimental X 
-#&gt; Occurrence of observed compounds $observed_n:
-#&gt; parent     A1 
-#&gt;      5      5 </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mdsg</span>, verbose <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
-#&gt; Title $title:  Experimental X 
-#&gt; Occurrence of observed compounds $observed_n:
-#&gt; parent     A1 
-#&gt;      5      5 
-#&gt; 
-#&gt; Datasets $ds:
-#&gt; &lt;mkinds&gt; with $title:  Soil 6 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 3, 6, 10, 20, 34, 55, 90, 112, 132 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 7 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 3, 7, 14, 30, 60, 90, 120, 180 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 8 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 1, 3, 8, 14, 27, 48, 70 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 9 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 1, 3, 8, 14, 27, 48, 70, 91, 120 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 10 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 8, 14, 21, 41, 63, 91, 120 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR </div><div class='input'><span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>mdsg</span>, verbose <span class='op'>=</span> <span class='cn'>TRUE</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; &lt;mkindsg&gt; holding 5 mkinds objects
-#&gt; Title $title:  Experimental X 
-#&gt; Occurrence of observed compounds $observed_n:
-#&gt; parent     A1 
-#&gt;      5      5 
-#&gt; 
-#&gt; Datasets $ds:
-#&gt; &lt;mkinds&gt; with $title:  Soil 6 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 3, 6, 10, 20, 34, 55, 90, 112, 132 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt;    time parent   A1
-#&gt; 1     0   97.2   NA
-#&gt; 2     0   96.4   NA
-#&gt; 3     3   71.1  4.3
-#&gt; 4     3   69.2  4.6
-#&gt; 5     6   58.1  7.0
-#&gt; 6     6   56.6  7.2
-#&gt; 7    10   44.4  8.2
-#&gt; 8    10   43.4  8.0
-#&gt; 9    20   33.3 11.0
-#&gt; 10   20   29.2 13.7
-#&gt; 11   34   17.6 11.5
-#&gt; 12   34   18.0 12.7
-#&gt; 13   55   10.5 14.9
-#&gt; 14   55    9.3 14.5
-#&gt; 15   90    4.5 12.1
-#&gt; 16   90    4.7 12.3
-#&gt; 17  112    3.0  9.9
-#&gt; 18  112    3.4 10.2
-#&gt; 19  132    2.3  8.8
-#&gt; 20  132    2.7  7.8
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 7 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 3, 7, 14, 30, 60, 90, 120, 180 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt;    time parent   A1
-#&gt; 1     0   93.6   NA
-#&gt; 2     0   92.3   NA
-#&gt; 3     3   87.0  3.9
-#&gt; 4     3   82.2  3.1
-#&gt; 5     7   74.0  6.9
-#&gt; 6     7   73.9  6.6
-#&gt; 7    14   64.2 10.4
-#&gt; 8    14   69.5  8.3
-#&gt; 9    30   54.0 14.4
-#&gt; 10   30   54.6 13.7
-#&gt; 11   60   41.1 22.1
-#&gt; 12   60   38.4 22.3
-#&gt; 13   90   32.5 27.5
-#&gt; 14   90   35.5 25.4
-#&gt; 15  120   28.1 28.0
-#&gt; 16  120   29.0 26.6
-#&gt; 17  180   26.5 25.8
-#&gt; 18  180   27.6 25.3
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 8 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 1, 3, 8, 14, 27, 48, 70 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt;    time parent   A1
-#&gt; 1     0   91.9   NA
-#&gt; 2     0   90.8   NA
-#&gt; 3     1   64.9  9.6
-#&gt; 4     1   66.2  7.7
-#&gt; 5     3   43.5 15.0
-#&gt; 6     3   44.1 15.1
-#&gt; 7     8   18.3 21.2
-#&gt; 8     8   18.1 21.1
-#&gt; 9    14   10.2 19.7
-#&gt; 10   14   10.8 18.9
-#&gt; 11   27    4.9 17.5
-#&gt; 12   27    3.3 15.9
-#&gt; 13   48    1.6  9.5
-#&gt; 14   48    1.5  9.8
-#&gt; 15   70    1.1  6.2
-#&gt; 16   70    0.9  6.1
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 9 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 1, 3, 8, 14, 27, 48, 70, 91, 120 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt;    time parent   A1
-#&gt; 1     0   99.8   NA
-#&gt; 2     0   98.3   NA
-#&gt; 3     1   77.1  4.2
-#&gt; 4     1   77.2  3.9
-#&gt; 5     3   59.0  7.4
-#&gt; 6     3   58.1  7.9
-#&gt; 7     8   27.4 14.5
-#&gt; 8     8   29.2 13.7
-#&gt; 9    14   19.1 14.2
-#&gt; 10   14   29.6 12.2
-#&gt; 11   27   10.1 13.7
-#&gt; 12   27   18.2 13.2
-#&gt; 13   48    4.5 13.6
-#&gt; 14   48    9.1 15.4
-#&gt; 15   70    2.3 10.4
-#&gt; 16   70    2.9 11.6
-#&gt; 17   91    2.0 10.0
-#&gt; 18   91    1.8  9.5
-#&gt; 19  120    2.0  9.1
-#&gt; 20  120    2.2  9.0
-#&gt; 
-#&gt; &lt;mkinds&gt; with $title:  Soil 10 
-#&gt; Observed compounds $observed:  parent, A1 
-#&gt; Sampling times $sampling_times:
-#&gt; 0, 8, 14, 21, 41, 63, 91, 120 
-#&gt; With a maximum of  2  replicates
-#&gt; Time unit:  days 
-#&gt; Observation unit:  \%AR 
-#&gt;    time parent   A1
-#&gt; 1     0   96.1   NA
-#&gt; 2     0   94.3   NA
-#&gt; 3     8   73.9  3.3
-#&gt; 4     8   73.9  3.4
-#&gt; 5    14   69.4  3.9
-#&gt; 6    14   73.1  2.9
-#&gt; 7    21   65.6  6.4
-#&gt; 8    21   65.3  7.2
-#&gt; 9    41   55.9  9.1
-#&gt; 10   41   54.4  8.5
-#&gt; 11   63   47.0 11.7
-#&gt; 12   63   49.3 12.0
-#&gt; 13   91   44.7 13.3
-#&gt; 14   91   46.7 13.2
-#&gt; 15  120   42.1 14.3
-#&gt; 16  120   41.3 12.1</div><div class='input'>
-</div></pre>
+<div class="section">
+<h3 id="public-methods">Public methods<a class="anchor" aria-label="anchor" href="#public-methods"></a></h3>
+
+<ul><li><p><a href="#method-mkindsg-new"><code>mkindsg$new()</code></a></p></li>
+<li><p><a href="#method-mkindsg-clone"><code>mkindsg$clone()</code></a></p></li>
+</ul></div><p></p><hr><a id="method-mkindsg-new"></a><div class="section">
+<h3 id="method-new-">Method <code>new()</code><a class="anchor" aria-label="anchor" href="#method-new-"></a></h3>
+<p>Create a new mkindsg object</p><div class="section">
+<h4 id="usage">Usage<a class="anchor" aria-label="anchor" href="#usage"></a></h4>
+<p></p><div class="r"><div class="sourceCode"><pre><code><span><span class="va"><a href="../reference/mkindsg.html">mkindsg</a></span><span class="op">$</span><span class="fu">new</span><span class="op">(</span>title <span class="op">=</span> <span class="st">""</span>, <span class="va">ds</span>, f_time_norm <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">ds</span><span class="op">)</span><span class="op">)</span>, <span class="va">meta</span><span class="op">)</span></span></code></pre></div><p></p></div>
+</div>
+
+<div class="section">
+<h4 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h4>
+<p></p><div class="arguments"><dl><dt><code>title</code></dt>
+<dd><p>The title</p></dd>
+
+
+<dt><code>ds</code></dt>
+<dd><p>A list of mkinds objects</p></dd>
+
+
+<dt><code>f_time_norm</code></dt>
+<dd><p>Time normalisation factors</p></dd>
+
+
+<dt><code>meta</code></dt>
+<dd><p>The meta data</p></dd>
+
+
+</dl><p></p></div>
+</div>
+
+</div><p></p><hr><a id="method-mkindsg-clone"></a><div class="section">
+<h3 id="method-clone-">Method <code>clone()</code><a class="anchor" aria-label="anchor" href="#method-clone-"></a></h3>
+<p>The objects of this class are cloneable with this method.</p><div class="section">
+<h4 id="usage-1">Usage<a class="anchor" aria-label="anchor" href="#usage-1"></a></h4>
+<p></p><div class="r"><div class="sourceCode"><pre><code><span><span class="va">mkindsg</span><span class="op">$</span><span class="fu">clone</span><span class="op">(</span>deep <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></code></pre></div><p></p></div>
+</div>
+
+<div class="section">
+<h4 id="arguments-1">Arguments<a class="anchor" aria-label="anchor" href="#arguments-1"></a></h4>
+<p></p><div class="arguments"><dl><dt><code>deep</code></dt>
+<dd><p>Whether to make a deep clone.</p></dd>
+
+
+</dl><p></p></div>
+</div>
+
+</div>
+
+    </div>
+
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">mdsg</span> <span class="op">&lt;-</span> <span class="va">mkindsg</span><span class="op">$</span><span class="fu">new</span><span class="op">(</span><span class="st">"Experimental X"</span>, <span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">mdsg</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkindsg&gt; holding 5 mkinds objects</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Title $title:  Experimental X </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Occurrence of observed compounds $observed_n:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent     A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      5      5 </span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">mdsg</span>, verbose <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkindsg&gt; holding 5 mkinds objects</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Title $title:  Experimental X </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Occurrence of observed compounds $observed_n:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent     A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      5      5 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Datasets $ds:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 3, 6, 10, 20, 34, 55, 90, 112, 132 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 7 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 3, 7, 14, 30, 60, 90, 120, 180 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 8 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 1, 3, 8, 14, 27, 48, 70 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 9 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 1, 3, 8, 14, 27, 48, 70, 91, 120 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 10 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 8, 14, 21, 41, 63, 91, 120 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">mdsg</span>, verbose <span class="op">=</span> <span class="cn">TRUE</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkindsg&gt; holding 5 mkinds objects</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Title $title:  Experimental X </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Occurrence of observed compounds $observed_n:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent     A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      5      5 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Datasets $ds:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 3, 6, 10, 20, 34, 55, 90, 112, 132 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    time parent   A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     0   97.2   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     0   96.4   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     3   71.1  4.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4     3   69.2  4.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5     6   58.1  7.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6     6   56.6  7.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7    10   44.4  8.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8    10   43.4  8.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9    20   33.3 11.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   20   29.2 13.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11   34   17.6 11.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12   34   18.0 12.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   55   10.5 14.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   55    9.3 14.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   90    4.5 12.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16   90    4.7 12.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17  112    3.0  9.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18  112    3.4 10.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19  132    2.3  8.8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20  132    2.7  7.8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 7 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 3, 7, 14, 30, 60, 90, 120, 180 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    time parent   A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     0   93.6   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     0   92.3   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     3   87.0  3.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4     3   82.2  3.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5     7   74.0  6.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6     7   73.9  6.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7    14   64.2 10.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8    14   69.5  8.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9    30   54.0 14.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   30   54.6 13.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11   60   41.1 22.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12   60   38.4 22.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   90   32.5 27.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   90   35.5 25.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15  120   28.1 28.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16  120   29.0 26.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17  180   26.5 25.8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18  180   27.6 25.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 8 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 1, 3, 8, 14, 27, 48, 70 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    time parent   A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     0   91.9   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     0   90.8   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     1   64.9  9.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4     1   66.2  7.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5     3   43.5 15.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6     3   44.1 15.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7     8   18.3 21.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8     8   18.1 21.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9    14   10.2 19.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   14   10.8 18.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11   27    4.9 17.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12   27    3.3 15.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   48    1.6  9.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   48    1.5  9.8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   70    1.1  6.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16   70    0.9  6.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 9 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 1, 3, 8, 14, 27, 48, 70, 91, 120 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    time parent   A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     0   99.8   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     0   98.3   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     1   77.1  4.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4     1   77.2  3.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5     3   59.0  7.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6     3   58.1  7.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7     8   27.4 14.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8     8   29.2 13.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9    14   19.1 14.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   14   29.6 12.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11   27   10.1 13.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12   27   18.2 13.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   48    4.5 13.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   48    9.1 15.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   70    2.3 10.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16   70    2.9 11.6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17   91    2.0 10.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18   91    1.8  9.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19  120    2.0  9.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20  120    2.2  9.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;mkinds&gt; with $title:  Soil 10 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observed compounds $observed:  parent, A1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Sampling times $sampling_times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0, 8, 14, 21, 41, 63, 91, 120 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> With a maximum of  2  replicates</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Time unit:  days </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Observation unit:  \%AR </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    time parent   A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     0   96.1   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2     0   94.3   NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     8   73.9  3.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4     8   73.9  3.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5    14   69.4  3.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6    14   73.1  2.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7    21   65.6  6.4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8    21   65.3  7.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9    41   55.9  9.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   41   54.4  8.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11   63   47.0 11.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12   63   49.3 12.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   91   44.7 13.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   91   46.7 13.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15  120   42.1 14.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16  120   41.3 12.1</span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
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+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
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diff --git a/docs/dev/reference/mkinfit-1.png b/docs/dev/reference/mkinfit-1.png
index de2a90a9..7c51deb6 100644
--- a/docs/dev/reference/mkinfit-1.png
+++ b/docs/dev/reference/mkinfit-1.png
diff --git a/docs/dev/reference/mkinfit.html b/docs/dev/reference/mkinfit.html
index 5910038f..a00a0458 100644
--- a/docs/dev/reference/mkinfit.html
+++ b/docs/dev/reference/mkinfit.html
@@ -1,46 +1,5 @@
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+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Fit a kinetic model to data with one or more state variables — mkinfit • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Fit a kinetic model to data with one or more state variables — mkinfit"><meta property="og:description" content="This function maximises the likelihood of the observed data using the Port
 algorithm stats::nlminb(), and the specified initial or fixed
 parameters and starting values.  In each step of the optimisation, the
 kinetic model is solved using the function mkinpredict(), except
@@ -48,28 +7,14 @@ if an analytical solution is implemented, in which case the model is solved
 using the degradation function in the mkinmod object. The
 parameters of the selected error model are fitted simultaneously with the
 degradation model parameters, as both of them are arguments of the
-likelihood function." />
-
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-<meta name="robots" content="noindex">
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+likelihood function."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
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+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
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       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -80,23 +25,21 @@ likelihood function." />
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       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
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-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
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@@ -106,6 +49,9 @@ likelihood function." />
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
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+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -120,91 +66,84 @@ likelihood function." />
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
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 <li>
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+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Fit a kinetic model to data with one or more state variables</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/mkinfit.R'><code>R/mkinfit.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/mkinfit.R" class="external-link"><code>R/mkinfit.R</code></a></small>
     <div class="hidden name"><code>mkinfit.Rd</code></div>
     </div>
 
     <div class="ref-description">
     <p>This function maximises the likelihood of the observed data using the Port
-algorithm <code><a href='https://rdrr.io/r/stats/nlminb.html'>stats::nlminb()</a></code>, and the specified initial or fixed
+algorithm <code><a href="https://rdrr.io/r/stats/nlminb.html" class="external-link">stats::nlminb()</a></code>, and the specified initial or fixed
 parameters and starting values.  In each step of the optimisation, the
-kinetic model is solved using the function <code><a href='mkinpredict.html'>mkinpredict()</a></code>, except
+kinetic model is solved using the function <code><a href="mkinpredict.html">mkinpredict()</a></code>, except
 if an analytical solution is implemented, in which case the model is solved
-using the degradation function in the <a href='mkinmod.html'>mkinmod</a> object. The
+using the degradation function in the <a href="mkinmod.html">mkinmod</a> object. The
 parameters of the selected error model are fitted simultaneously with the
 degradation model parameters, as both of them are arguments of the
 likelihood function.</p>
     </div>
 
-    <pre class="usage"><span class='fu'>mkinfit</span><span class='op'>(</span>
-  <span class='va'>mkinmod</span>,
-  <span class='va'>observed</span>,
-  parms.ini <span class='op'>=</span> <span class='st'>"auto"</span>,
-  state.ini <span class='op'>=</span> <span class='st'>"auto"</span>,
-  err.ini <span class='op'>=</span> <span class='st'>"auto"</span>,
-  fixed_parms <span class='op'>=</span> <span class='cn'>NULL</span>,
-  fixed_initials <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>mkinmod</span><span class='op'>$</span><span class='va'>diffs</span><span class='op'>)</span><span class='op'>[</span><span class='op'>-</span><span class='fl'>1</span><span class='op'>]</span>,
-  from_max_mean <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  solution_type <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"auto"</span>, <span class='st'>"analytical"</span>, <span class='st'>"eigen"</span>, <span class='st'>"deSolve"</span><span class='op'>)</span>,
-  method.ode <span class='op'>=</span> <span class='st'>"lsoda"</span>,
-  use_compiled <span class='op'>=</span> <span class='st'>"auto"</span>,
-  control <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span><span class='op'>(</span>eval.max <span class='op'>=</span> <span class='fl'>300</span>, iter.max <span class='op'>=</span> <span class='fl'>200</span><span class='op'>)</span>,
-  transform_rates <span class='op'>=</span> <span class='cn'>TRUE</span>,
-  transform_fractions <span class='op'>=</span> <span class='cn'>TRUE</span>,
-  quiet <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  atol <span class='op'>=</span> <span class='fl'>1e-08</span>,
-  rtol <span class='op'>=</span> <span class='fl'>1e-10</span>,
-  error_model <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"const"</span>, <span class='st'>"obs"</span>, <span class='st'>"tc"</span><span class='op'>)</span>,
-  error_model_algorithm <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"auto"</span>, <span class='st'>"d_3"</span>, <span class='st'>"direct"</span>, <span class='st'>"twostep"</span>, <span class='st'>"threestep"</span>,
-    <span class='st'>"fourstep"</span>, <span class='st'>"IRLS"</span>, <span class='st'>"OLS"</span><span class='op'>)</span>,
-  reweight.tol <span class='op'>=</span> <span class='fl'>1e-08</span>,
-  reweight.max.iter <span class='op'>=</span> <span class='fl'>10</span>,
-  trace_parms <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  test_residuals <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  <span class='va'>...</span>
-<span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>mkinmod</th>
-      <td><p>A list of class <a href='mkinmod.html'>mkinmod</a>, containing the kinetic
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mkinfit</span><span class="op">(</span></span>
+<span>  <span class="va">mkinmod</span>,</span>
+<span>  <span class="va">observed</span>,</span>
+<span>  parms.ini <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  state.ini <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  err.ini <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  fixed_parms <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  fixed_initials <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">mkinmod</span><span class="op">$</span><span class="va">diffs</span><span class="op">)</span><span class="op">[</span><span class="op">-</span><span class="fl">1</span><span class="op">]</span>,</span>
+<span>  from_max_mean <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  solution_type <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"auto"</span>, <span class="st">"analytical"</span>, <span class="st">"eigen"</span>, <span class="st">"deSolve"</span><span class="op">)</span>,</span>
+<span>  method.ode <span class="op">=</span> <span class="st">"lsoda"</span>,</span>
+<span>  use_compiled <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>eval.max <span class="op">=</span> <span class="fl">300</span>, iter.max <span class="op">=</span> <span class="fl">200</span><span class="op">)</span>,</span>
+<span>  transform_rates <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  transform_fractions <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  quiet <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  atol <span class="op">=</span> <span class="fl">1e-08</span>,</span>
+<span>  rtol <span class="op">=</span> <span class="fl">1e-10</span>,</span>
+<span>  error_model <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"const"</span>, <span class="st">"obs"</span>, <span class="st">"tc"</span><span class="op">)</span>,</span>
+<span>  error_model_algorithm <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"auto"</span>, <span class="st">"d_3"</span>, <span class="st">"direct"</span>, <span class="st">"twostep"</span>, <span class="st">"threestep"</span>, <span class="st">"fourstep"</span>,</span>
+<span>    <span class="st">"IRLS"</span>, <span class="st">"OLS"</span><span class="op">)</span>,</span>
+<span>  reweight.tol <span class="op">=</span> <span class="fl">1e-08</span>,</span>
+<span>  reweight.max.iter <span class="op">=</span> <span class="fl">10</span>,</span>
+<span>  trace_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  test_residuals <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>mkinmod</dt>
+<dd><p>A list of class <a href="mkinmod.html">mkinmod</a>, containing the kinetic
 model to be fitted to the data, or one of the shorthand names ("SFO",
 "FOMC", "DFOP", "HS", "SFORB", "IORE"). If a shorthand name is given, a
 parent only degradation model is generated for the variable with the
-highest value in <code>observed</code>.</p></td>
-    </tr>
-    <tr>
-      <th>observed</th>
-      <td><p>A dataframe with the observed data.  The first column called
+highest value in <code>observed</code>.</p></dd>
+
+
+<dt>observed</dt>
+<dd><p>A dataframe with the observed data.  The first column called
 "name" must contain the name of the observed variable for each data point.
 The second column must contain the times of observation, named "time".
 The third column must be named "value" and contain the observed values.
@@ -212,11 +151,11 @@ Zero values in the "value" column will be removed, with a warning, in
 order to avoid problems with fitting the two-component error model. This
 is not expected to be a problem, because in general, values of zero are
 not observed in degradation data, because there is a lower limit of
-detection.</p></td>
-    </tr>
-    <tr>
-      <th>parms.ini</th>
-      <td><p>A named vector of initial values for the parameters,
+detection.</p></dd>
+
+
+<dt>parms.ini</dt>
+<dd><p>A named vector of initial values for the parameters,
 including parameters to be optimised and potentially also fixed parameters
 as indicated by <code>fixed_parms</code>.  If set to "auto", initial values for
 rate constants are set to default values.  Using parameter names that are
@@ -225,113 +164,113 @@ not in the model gives an error.</p>
 needs. You can use the parameter lists "bparms.ode" from a previously
 fitted model, which contains the differential equation parameters from
 this model.  This works nicely if the models are nested. An example is
-given below.</p></td>
-    </tr>
-    <tr>
-      <th>state.ini</th>
-      <td><p>A named vector of initial values for the state variables of
+given below.</p></dd>
+
+
+<dt>state.ini</dt>
+<dd><p>A named vector of initial values for the state variables of
 the model. In case the observed variables are represented by more than one
 model variable, the names will differ from the names of the observed
-variables (see <code>map</code> component of <a href='mkinmod.html'>mkinmod</a>). The default
+variables (see <code>map</code> component of <a href="mkinmod.html">mkinmod</a>). The default
 is to set the initial value of the first model variable to the mean of the
 time zero values for the variable with the maximum observed value, and all
 others to 0.  If this variable has no time zero observations, its initial
-value is set to 100.</p></td>
-    </tr>
-    <tr>
-      <th>err.ini</th>
-      <td><p>A named vector of initial values for the error model
+value is set to 100.</p></dd>
+
+
+<dt>err.ini</dt>
+<dd><p>A named vector of initial values for the error model
 parameters to be optimised.  If set to "auto", initial values are set to
 default values.  Otherwise, inital values for all error model parameters
-must be given.</p></td>
-    </tr>
-    <tr>
-      <th>fixed_parms</th>
-      <td><p>The names of parameters that should not be optimised but
+must be given.</p></dd>
+
+
+<dt>fixed_parms</dt>
+<dd><p>The names of parameters that should not be optimised but
 rather kept at the values specified in <code>parms.ini</code>. Alternatively,
 a named numeric vector of parameters to be fixed, regardless of the values
-in parms.ini.</p></td>
-    </tr>
-    <tr>
-      <th>fixed_initials</th>
-      <td><p>The names of model variables for which the initial
+in parms.ini.</p></dd>
+
+
+<dt>fixed_initials</dt>
+<dd><p>The names of model variables for which the initial
 state at time 0 should be excluded from the optimisation. Defaults to all
-state variables except for the first one.</p></td>
-    </tr>
-    <tr>
-      <th>from_max_mean</th>
-      <td><p>If this is set to TRUE, and the model has only one
+state variables except for the first one.</p></dd>
+
+
+<dt>from_max_mean</dt>
+<dd><p>If this is set to TRUE, and the model has only one
 observed variable, then data before the time of the maximum observed value
 (after averaging for each sampling time) are discarded, and this time is
 subtracted from all remaining time values, so the time of the maximum
-observed mean value is the new time zero.</p></td>
-    </tr>
-    <tr>
-      <th>solution_type</th>
-      <td><p>If set to "eigen", the solution of the system of
+observed mean value is the new time zero.</p></dd>
+
+
+<dt>solution_type</dt>
+<dd><p>If set to "eigen", the solution of the system of
 differential equations is based on the spectral decomposition of the
 coefficient matrix in cases that this is possible. If set to "deSolve", a
-numerical <a href='https://rdrr.io/pkg/deSolve/man/ode.html'>ode solver from package deSolve</a> is used. If
+numerical <a href="https://rdrr.io/pkg/deSolve/man/ode.html" class="external-link">ode solver from package deSolve</a> is used. If
 set to "analytical", an analytical solution of the model is used. This is
 only implemented for relatively simple degradation models.  The default is
 "auto", which uses "analytical" if possible, otherwise "deSolve" if a
 compiler is present, and "eigen" if no compiler is present and the model
-can be expressed using eigenvalues and eigenvectors.</p></td>
-    </tr>
-    <tr>
-      <th>method.ode</th>
-      <td><p>The solution method passed via <code><a href='mkinpredict.html'>mkinpredict()</a></code>
-to <code><a href='https://rdrr.io/pkg/deSolve/man/ode.html'>deSolve::ode()</a></code> in case the solution type is "deSolve". The default
-"lsoda" is performant, but sometimes fails to converge.</p></td>
-    </tr>
-    <tr>
-      <th>use_compiled</th>
-      <td><p>If set to <code>FALSE</code>, no compiled version of the
-<a href='mkinmod.html'>mkinmod</a> model is used in the calls to <code><a href='mkinpredict.html'>mkinpredict()</a></code> even if a compiled
-version is present.</p></td>
-    </tr>
-    <tr>
-      <th>control</th>
-      <td><p>A list of control arguments passed to <code><a href='https://rdrr.io/r/stats/nlminb.html'>stats::nlminb()</a></code>.</p></td>
-    </tr>
-    <tr>
-      <th>transform_rates</th>
-      <td><p>Boolean specifying if kinetic rate constants should
+can be expressed using eigenvalues and eigenvectors.</p></dd>
+
+
+<dt>method.ode</dt>
+<dd><p>The solution method passed via <code><a href="mkinpredict.html">mkinpredict()</a></code>
+to <code><a href="https://rdrr.io/pkg/deSolve/man/ode.html" class="external-link">deSolve::ode()</a></code> in case the solution type is "deSolve". The default
+"lsoda" is performant, but sometimes fails to converge.</p></dd>
+
+
+<dt>use_compiled</dt>
+<dd><p>If set to <code>FALSE</code>, no compiled version of the
+<a href="mkinmod.html">mkinmod</a> model is used in the calls to <code><a href="mkinpredict.html">mkinpredict()</a></code> even if a compiled
+version is present.</p></dd>
+
+
+<dt>control</dt>
+<dd><p>A list of control arguments passed to <code><a href="https://rdrr.io/r/stats/nlminb.html" class="external-link">stats::nlminb()</a></code>.</p></dd>
+
+
+<dt>transform_rates</dt>
+<dd><p>Boolean specifying if kinetic rate constants should
 be transformed in the model specification used in the fitting for better
 compliance with the assumption of normal distribution of the estimator. If
 TRUE, also alpha and beta parameters of the FOMC model are
 log-transformed, as well as k1 and k2 rate constants for the DFOP and HS
 models and the break point tb of the HS model.  If FALSE, zero is used as
-a lower bound for the rates in the optimisation.</p></td>
-    </tr>
-    <tr>
-      <th>transform_fractions</th>
-      <td><p>Boolean specifying if formation fractions
+a lower bound for the rates in the optimisation.</p></dd>
+
+
+<dt>transform_fractions</dt>
+<dd><p>Boolean specifying if formation fractions
 should be transformed in the model specification used in the fitting for
 better compliance with the assumption of normal distribution of the
 estimator. The default (TRUE) is to do transformations. If TRUE,
 the g parameter of the DFOP model is also transformed. Transformations
-are described in <a href='transform_odeparms.html'>transform_odeparms</a>.</p></td>
-    </tr>
-    <tr>
-      <th>quiet</th>
-      <td><p>Suppress printing out the current value of the negative
-log-likelihood after each improvement?</p></td>
-    </tr>
-    <tr>
-      <th>atol</th>
-      <td><p>Absolute error tolerance, passed to <code><a href='https://rdrr.io/pkg/deSolve/man/ode.html'>deSolve::ode()</a></code>. Default
-is 1e-8, which is lower than the default in the <code><a href='https://rdrr.io/pkg/deSolve/man/lsoda.html'>deSolve::lsoda()</a></code>
-function which is used per default.</p></td>
-    </tr>
-    <tr>
-      <th>rtol</th>
-      <td><p>Absolute error tolerance, passed to <code><a href='https://rdrr.io/pkg/deSolve/man/ode.html'>deSolve::ode()</a></code>. Default
-is 1e-10, much lower than in <code><a href='https://rdrr.io/pkg/deSolve/man/lsoda.html'>deSolve::lsoda()</a></code>.</p></td>
-    </tr>
-    <tr>
-      <th>error_model</th>
-      <td><p>If the error model is "const", a constant standard
+are described in <a href="transform_odeparms.html">transform_odeparms</a>.</p></dd>
+
+
+<dt>quiet</dt>
+<dd><p>Suppress printing out the current value of the negative
+log-likelihood after each improvement?</p></dd>
+
+
+<dt>atol</dt>
+<dd><p>Absolute error tolerance, passed to <code><a href="https://rdrr.io/pkg/deSolve/man/ode.html" class="external-link">deSolve::ode()</a></code>. Default
+is 1e-8, which is lower than the default in the <code><a href="https://rdrr.io/pkg/deSolve/man/lsoda.html" class="external-link">deSolve::lsoda()</a></code>
+function which is used per default.</p></dd>
+
+
+<dt>rtol</dt>
+<dd><p>Absolute error tolerance, passed to <code><a href="https://rdrr.io/pkg/deSolve/man/ode.html" class="external-link">deSolve::ode()</a></code>. Default
+is 1e-10, much lower than in <code><a href="https://rdrr.io/pkg/deSolve/man/lsoda.html" class="external-link">deSolve::lsoda()</a></code>.</p></dd>
+
+
+<dt>error_model</dt>
+<dd><p>If the error model is "const", a constant standard
 deviation is assumed.</p>
 <p>If the error model is "obs", each observed variable is assumed to have its
 own variance.</p>
@@ -340,11 +279,11 @@ error model similar to the one described by Rocke and Lorenzato (1995) is
 used for setting up the likelihood function.  Note that this model
 deviates from the model by Rocke and Lorenzato, as their model implies
 that the errors follow a lognormal distribution for large values, not a
-normal distribution as assumed by this method.</p></td>
-    </tr>
-    <tr>
-      <th>error_model_algorithm</th>
-      <td><p>If "auto", the selected algorithm depends on
+normal distribution as assumed by this method.</p></dd>
+
+
+<dt>error_model_algorithm</dt>
+<dd><p>If "auto", the selected algorithm depends on
 the error model.  If the error model is "const", unweighted nonlinear
 least squares fitting ("OLS") is selected. If the error model is "obs", or
 "tc", the "d_3" algorithm is selected.</p>
@@ -367,372 +306,391 @@ degradation and error model parameters.</p>
 unweighted least squares, and then iterates optimization of the error
 model parameters and subsequent optimization of the degradation model
 using those error model parameters, until the error model parameters
-converge.</p></td>
-    </tr>
-    <tr>
-      <th>reweight.tol</th>
-      <td><p>Tolerance for the convergence criterion calculated from
-the error model parameters in IRLS fits.</p></td>
-    </tr>
-    <tr>
-      <th>reweight.max.iter</th>
-      <td><p>Maximum number of iterations in IRLS fits.</p></td>
-    </tr>
-    <tr>
-      <th>trace_parms</th>
-      <td><p>Should a trace of the parameter values be listed?</p></td>
-    </tr>
-    <tr>
-      <th>test_residuals</th>
-      <td><p>Should the residuals be tested for normal distribution?</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>Further arguments that will be passed on to
-<code><a href='https://rdrr.io/pkg/deSolve/man/ode.html'>deSolve::ode()</a></code>.</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>A list with "mkinfit" in the class attribute.</p>
-    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
+converge.</p></dd>
+
+
+<dt>reweight.tol</dt>
+<dd><p>Tolerance for the convergence criterion calculated from
+the error model parameters in IRLS fits.</p></dd>
 
+
+<dt>reweight.max.iter</dt>
+<dd><p>Maximum number of iterations in IRLS fits.</p></dd>
+
+
+<dt>trace_parms</dt>
+<dd><p>Should a trace of the parameter values be listed?</p></dd>
+
+
+<dt>test_residuals</dt>
+<dd><p>Should the residuals be tested for normal distribution?</p></dd>
+
+
+<dt>...</dt>
+<dd><p>Further arguments that will be passed on to
+<code><a href="https://rdrr.io/pkg/deSolve/man/ode.html" class="external-link">deSolve::ode()</a></code>.</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>A list with "mkinfit" in the class attribute.</p>
+    </div>
+    <div id="details">
+    <h2>Details</h2>
     <p>Per default, parameters in the kinetic models are internally transformed in
 order to better satisfy the assumption of a normal distribution of their
 estimators.</p>
-    <h2 class="hasAnchor" id="note"><a class="anchor" href="#note"></a>Note</h2>
-
+    </div>
+    <div id="note">
+    <h2>Note</h2>
     <p>When using the "IORE" submodel for metabolites, fitting with
 "transform_rates = TRUE" (the default) often leads to failures of the
 numerical ODE solver. In this situation it may help to switch off the
 internal rate transformation.</p>
-    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
-
+    </div>
+    <div id="references">
+    <h2>References</h2>
     <p>Rocke DM and Lorenzato S (1995) A two-component model
 for measurement error in analytical chemistry. <em>Technometrics</em> 37(2), 176-184.</p>
 <p>Ranke J and Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical
 Degradation Data. <em>Environments</em> 6(12) 124
-doi: <a href='https://doi.org/10.3390/environments6120124'>10.3390/environments6120124</a>
+<a href="https://doi.org/10.3390/environments6120124" class="external-link">doi:10.3390/environments6120124</a>
 .</p>
-    <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2>
-
-    <div class='dont-index'><p><a href='summary.mkinfit.html'>summary.mkinfit</a>, <a href='plot.mkinfit.html'>plot.mkinfit</a>, <a href='parms.html'>parms</a> and <a href='https://rdrr.io/pkg/lmtest/man/lrtest.html'>lrtest</a>.</p>
+    </div>
+    <div id="see-also">
+    <h2>See also</h2>
+    <div class="dont-index"><p><a href="summary.mkinfit.html">summary.mkinfit</a>, <a href="plot.mkinfit.html">plot.mkinfit</a>, <a href="parms.html">parms</a> and <a href="https://rdrr.io/pkg/lmtest/man/lrtest.html" class="external-link">lrtest</a>.</p>
 <p>Comparisons of models fitted to the same data can be made using
-<code><a href='https://rdrr.io/r/stats/AIC.html'>AIC</a></code> by virtue of the method <code><a href='logLik.mkinfit.html'>logLik.mkinfit</a></code>.</p>
+<code><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></code> by virtue of the method <code><a href="logLik.mkinfit.html">logLik.mkinfit</a></code>.</p>
 <p>Fitting of several models to several datasets in a single call to
-<code><a href='mmkin.html'>mmkin</a></code>.</p></div>
-    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
-
+<code><a href="mmkin.html">mmkin</a></code>.</p></div>
+    </div>
+    <div id="author">
+    <h2>Author</h2>
     <p>Johannes Ranke</p>
+    </div>
 
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-<span class='co'># Use shorthand notation for parent only degradation</span>
-<span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='va'>FOCUS_2006_C</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-<span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
-#&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Feb 15 17:09:39 2021 
-#&gt; Date of summary: Mon Feb 15 17:09:39 2021 
-#&gt; 
-#&gt; Equations:
-#&gt; d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
-#&gt; 
-#&gt; Model predictions using solution type analytical 
-#&gt; 
-#&gt; Fitted using 222 model solutions performed in 0.045 s
-#&gt; 
-#&gt; Error model: Constant variance 
-#&gt; 
-#&gt; Error model algorithm: OLS 
-#&gt; 
-#&gt; Starting values for parameters to be optimised:
-#&gt;          value   type
-#&gt; parent_0  85.1  state
-#&gt; alpha      1.0 deparm
-#&gt; beta      10.0 deparm
-#&gt; 
-#&gt; Starting values for the transformed parameters actually optimised:
-#&gt;               value lower upper
-#&gt; parent_0  85.100000  -Inf   Inf
-#&gt; log_alpha  0.000000  -Inf   Inf
-#&gt; log_beta   2.302585  -Inf   Inf
-#&gt; 
-#&gt; Fixed parameter values:
-#&gt; None
-#&gt; 
-#&gt; Results:
-#&gt; 
-#&gt;        AIC      BIC    logLik
-#&gt;   44.68652 45.47542 -18.34326
-#&gt; 
-#&gt; Optimised, transformed parameters with symmetric confidence intervals:
-#&gt;           Estimate Std. Error    Lower   Upper
-#&gt; parent_0  85.87000     1.8070 81.23000 90.5200
-#&gt; log_alpha  0.05192     0.1353 -0.29580  0.3996
-#&gt; log_beta   0.65100     0.2287  0.06315  1.2390
-#&gt; sigma      1.85700     0.4378  0.73200  2.9830
-#&gt; 
-#&gt; Parameter correlation:
-#&gt;             parent_0  log_alpha   log_beta     sigma
-#&gt; parent_0   1.000e+00 -1.565e-01 -3.142e-01 4.772e-08
-#&gt; log_alpha -1.565e-01  1.000e+00  9.564e-01 1.005e-07
-#&gt; log_beta  -3.142e-01  9.564e-01  1.000e+00 8.541e-08
-#&gt; sigma      4.772e-08  1.005e-07  8.541e-08 1.000e+00
-#&gt; 
-#&gt; Backtransformed parameters:
-#&gt; Confidence intervals for internally transformed parameters are asymmetric.
-#&gt; t-test (unrealistically) based on the assumption of normal distribution
-#&gt; for estimators of untransformed parameters.
-#&gt;          Estimate t value    Pr(&gt;t)   Lower  Upper
-#&gt; parent_0   85.870  47.530 3.893e-08 81.2300 90.520
-#&gt; alpha       1.053   7.393 3.562e-04  0.7439  1.491
-#&gt; beta        1.917   4.373 3.601e-03  1.0650  3.451
-#&gt; sigma       1.857   4.243 4.074e-03  0.7320  2.983
-#&gt; 
-#&gt; FOCUS Chi2 error levels in percent:
-#&gt;          err.min n.optim df
-#&gt; All data   6.657       3  6
-#&gt; parent     6.657       3  6
-#&gt; 
-#&gt; Estimated disappearance times:
-#&gt;         DT50  DT90 DT50back
-#&gt; parent 1.785 15.15     4.56
-#&gt; 
-#&gt; Data:
-#&gt;  time variable observed predicted residual
-#&gt;     0   parent     85.1    85.875  -0.7749
-#&gt;     1   parent     57.9    55.191   2.7091
-#&gt;     3   parent     29.9    31.845  -1.9452
-#&gt;     7   parent     14.6    17.012  -2.4124
-#&gt;    14   parent      9.7     9.241   0.4590
-#&gt;    28   parent      6.6     4.754   1.8460
-#&gt;    63   parent      4.0     2.102   1.8977
-#&gt;    91   parent      3.9     1.441   2.4590
-#&gt;   119   parent      0.6     1.092  -0.4919</div><div class='input'>
-<span class='co'># One parent compound, one metabolite, both single first order.</span>
-<span class='co'># We remove zero values from FOCUS dataset D in order to avoid warnings</span>
-<span class='va'>FOCUS_D</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span><span class='op'>(</span><span class='va'>FOCUS_2006_D</span>, <span class='va'>value</span> <span class='op'>!=</span> <span class='fl'>0</span><span class='op'>)</span>
-<span class='co'># Use mkinsub for convenience in model formulation. Pathway to sink included per default.</span>
-<span class='va'>SFO_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
-  parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span><span class='op'>)</span>,
-  m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'>
-<span class='co'># Fit the model quietly to the FOCUS example dataset D using defaults</span>
-<span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-<span class='fu'><a href='plot.mkinfit.html'>plot_sep</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='img'><img src='mkinfit-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># As lower parent values appear to have lower variance, we try an alternative error model</span>
-<span class='va'>fit.tc</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-<span class='co'># This avoids the warning, and the likelihood ratio test confirms it is preferable</span>
-<span class='fu'><a href='https://rdrr.io/pkg/lmtest/man/lrtest.html'>lrtest</a></span><span class='op'>(</span><span class='va'>fit.tc</span>, <span class='va'>fit</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Likelihood ratio test
-#&gt; 
-#&gt; Model 1: SFO_SFO with error model tc and fixed parameter(s) m1_0
-#&gt; Model 2: SFO_SFO with error model const and fixed parameter(s) m1_0
-#&gt;   #Df  LogLik Df  Chisq Pr(&gt;Chisq)    
-#&gt; 1   6 -64.983                         
-#&gt; 2   5 -97.224 -1 64.483  9.737e-16 ***
-#&gt; ---
-#&gt; Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</div><div class='input'><span class='co'># We can also allow for different variances of parent and metabolite as error model</span>
-<span class='va'>fit.obs</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"obs"</span><span class='op'>)</span>
-<span class='co'># The two-component error model has significantly higher likelihood</span>
-<span class='fu'><a href='https://rdrr.io/pkg/lmtest/man/lrtest.html'>lrtest</a></span><span class='op'>(</span><span class='va'>fit.obs</span>, <span class='va'>fit.tc</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Likelihood ratio test
-#&gt; 
-#&gt; Model 1: SFO_SFO with error model tc and fixed parameter(s) m1_0
-#&gt; Model 2: SFO_SFO with error model obs and fixed parameter(s) m1_0
-#&gt;   #Df  LogLik Df  Chisq Pr(&gt;Chisq)    
-#&gt; 1   6 -64.983                         
-#&gt; 2   6 -96.936  0 63.907  &lt; 2.2e-16 ***
-#&gt; ---
-#&gt; Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</div><div class='input'><span class='fu'><a href='parms.html'>parms</a></span><span class='op'>(</span><span class='va'>fit.tc</span><span class='op'>)</span>
-</div><div class='output co'>#&gt;       parent_0       k_parent           k_m1 f_parent_to_m1      sigma_low 
-#&gt;   1.007343e+02   1.005562e-01   5.166712e-03   5.083933e-01   3.049883e-03 
-#&gt;       rsd_high 
-#&gt;   7.928118e-02 </div><div class='input'><span class='fu'><a href='endpoints.html'>endpoints</a></span><span class='op'>(</span><span class='va'>fit.tc</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; $ff
-#&gt;   parent_m1 parent_sink 
-#&gt;   0.5083933   0.4916067 
-#&gt; 
-#&gt; $distimes
-#&gt;             DT50      DT90
-#&gt; parent   6.89313  22.89848
-#&gt; m1     134.15634 445.65772
-#&gt; </div><div class='input'>
-<span class='co'># We can show a quick (only one replication) benchmark for this case, as we</span>
-<span class='co'># have several alternative solution methods for the model. We skip</span>
-<span class='co'># uncompiled deSolve, as it is so slow. More benchmarks are found in the</span>
-<span class='co'># benchmark vignette</span>
-<span class='co'># \dontrun{</span>
-<span class='kw'>if</span><span class='op'>(</span><span class='kw'><a href='https://rdrr.io/r/base/library.html'>require</a></span><span class='op'>(</span><span class='va'><a href='http://rbenchmark.googlecode.com'>rbenchmark</a></span><span class='op'>)</span><span class='op'>)</span> <span class='op'>{</span>
-  <span class='fu'><a href='https://rdrr.io/pkg/rbenchmark/man/benchmark.html'>benchmark</a></span><span class='op'>(</span>replications <span class='op'>=</span> <span class='fl'>1</span>, order <span class='op'>=</span> <span class='st'>"relative"</span>, columns <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"test"</span>, <span class='st'>"relative"</span>, <span class='st'>"elapsed"</span><span class='op'>)</span>,
-    deSolve_compiled <span class='op'>=</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>,
-      solution_type <span class='op'>=</span> <span class='st'>"deSolve"</span>, use_compiled <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>,
-    eigen <span class='op'>=</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>,
-      solution_type <span class='op'>=</span> <span class='st'>"eigen"</span><span class='op'>)</span>,
-    analytical <span class='op'>=</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>,
-      solution_type <span class='op'>=</span> <span class='st'>"analytical"</span><span class='op'>)</span><span class='op'>)</span>
-<span class='op'>}</span>
-</div><div class='output co'>#&gt;               test relative elapsed
-#&gt; 3       analytical    1.000   0.563
-#&gt; 1 deSolve_compiled    1.702   0.958
-#&gt; 2            eigen    2.597   1.462</div><div class='input'><span class='co'># }</span>
-
-<span class='co'># Use stepwise fitting, using optimised parameters from parent only fit, FOMC-SFO</span>
-<span class='co'># \dontrun{</span>
-<span class='va'>FOMC_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>
-  parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='st'>"m1"</span><span class='op'>)</span>,
-  m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fit.FOMC_SFO</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>FOMC_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-<span class='co'># Again, we get a warning and try a more sophisticated error model</span>
-<span class='va'>fit.FOMC_SFO.tc</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>FOMC_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-<span class='co'># This model has a higher likelihood, but not significantly so</span>
-<span class='fu'><a href='https://rdrr.io/pkg/lmtest/man/lrtest.html'>lrtest</a></span><span class='op'>(</span><span class='va'>fit.tc</span>, <span class='va'>fit.FOMC_SFO.tc</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; Likelihood ratio test
-#&gt; 
-#&gt; Model 1: FOMC_SFO with error model tc and fixed parameter(s) m1_0
-#&gt; Model 2: SFO_SFO with error model tc and fixed parameter(s) m1_0
-#&gt;   #Df  LogLik Df  Chisq Pr(&gt;Chisq)
-#&gt; 1   7 -64.829                     
-#&gt; 2   6 -64.983 -1 0.3075     0.5792</div><div class='input'><span class='co'># Also, the missing standard error for log_beta and the t-tests for alpha</span>
-<span class='co'># and beta indicate overparameterisation</span>
-<span class='fu'><a href='https://rdrr.io/r/base/summary.html'>summary</a></span><span class='op'>(</span><span class='va'>fit.FOMC_SFO.tc</span>, data <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: NaNs produced</span></div><div class='output co'>#&gt; <span class='warning'>Warning: diag(.) had 0 or NA entries; non-finite result is doubtful</span></div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
-#&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Feb 15 17:09:50 2021 
-#&gt; Date of summary: Mon Feb 15 17:09:50 2021 
-#&gt; 
-#&gt; Equations:
-#&gt; d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent
-#&gt; d_m1/dt = + f_parent_to_m1 * (alpha/beta) * 1/((time/beta) + 1) *
-#&gt;            parent - k_m1 * m1
-#&gt; 
-#&gt; Model predictions using solution type deSolve 
-#&gt; 
-#&gt; Fitted using 3729 model solutions performed in 2.815 s
-#&gt; 
-#&gt; Error model: Two-component variance function 
-#&gt; 
-#&gt; Error model algorithm: d_3 
-#&gt; Direct fitting and three-step fitting yield approximately the same likelihood 
-#&gt; 
-#&gt; Starting values for parameters to be optimised:
-#&gt;                 value   type
-#&gt; parent_0       100.75  state
-#&gt; alpha            1.00 deparm
-#&gt; beta            10.00 deparm
-#&gt; k_m1             0.10 deparm
-#&gt; f_parent_to_m1   0.50 deparm
-#&gt; sigma_low        0.10  error
-#&gt; rsd_high         0.10  error
-#&gt; 
-#&gt; Starting values for the transformed parameters actually optimised:
-#&gt;                      value lower upper
-#&gt; parent_0        100.750000  -Inf   Inf
-#&gt; log_k_m1         -2.302585  -Inf   Inf
-#&gt; f_parent_qlogis   0.000000  -Inf   Inf
-#&gt; log_alpha         0.000000  -Inf   Inf
-#&gt; log_beta          2.302585  -Inf   Inf
-#&gt; sigma_low         0.100000     0   Inf
-#&gt; rsd_high          0.100000     0   Inf
-#&gt; 
-#&gt; Fixed parameter values:
-#&gt;      value  type
-#&gt; m1_0     0 state
-#&gt; 
-#&gt; Results:
-#&gt; 
-#&gt;       AIC      BIC    logLik
-#&gt;   143.658 155.1211 -64.82902
-#&gt; 
-#&gt; Optimised, transformed parameters with symmetric confidence intervals:
-#&gt;                   Estimate Std. Error     Lower      Upper
-#&gt; parent_0        101.600000  2.6400000 96.240000 107.000000
-#&gt; log_k_m1         -5.284000  0.0929100 -5.474000  -5.095000
-#&gt; f_parent_qlogis   0.001426  0.0767000 -0.155000   0.157800
-#&gt; log_alpha         5.522000  0.0077320  5.506000   5.538000
-#&gt; log_beta          7.806000        NaN       NaN        NaN
-#&gt; sigma_low         0.002488  0.0002431  0.001992   0.002984
-#&gt; rsd_high          0.079210  0.0093280  0.060180   0.098230
-#&gt; 
-#&gt; Parameter correlation:
-#&gt;                  parent_0  log_k_m1 f_parent_qlogis log_alpha log_beta
-#&gt; parent_0         1.000000 -0.095226        -0.76678   0.70544      NaN
-#&gt; log_k_m1        -0.095226  1.000000         0.51432  -0.14387      NaN
-#&gt; f_parent_qlogis -0.766780  0.514321         1.00000  -0.61396      NaN
-#&gt; log_alpha        0.705444 -0.143872        -0.61396   1.00000      NaN
-#&gt; log_beta              NaN       NaN             NaN       NaN        1
-#&gt; sigma_low        0.016073  0.001586         0.01548   5.87007      NaN
-#&gt; rsd_high         0.006626 -0.011700        -0.05357   0.04849      NaN
-#&gt;                 sigma_low  rsd_high
-#&gt; parent_0         0.016073  0.006626
-#&gt; log_k_m1         0.001586 -0.011700
-#&gt; f_parent_qlogis  0.015476 -0.053566
-#&gt; log_alpha        5.870075  0.048487
-#&gt; log_beta              NaN       NaN
-#&gt; sigma_low        1.000000 -0.652558
-#&gt; rsd_high        -0.652558  1.000000
-#&gt; 
-#&gt; Backtransformed parameters:
-#&gt; Confidence intervals for internally transformed parameters are asymmetric.
-#&gt; t-test (unrealistically) based on the assumption of normal distribution
-#&gt; for estimators of untransformed parameters.
-#&gt;                 Estimate t value    Pr(&gt;t)     Lower     Upper
-#&gt; parent_0       1.016e+02 32.7800 6.311e-26 9.624e+01 1.070e+02
-#&gt; k_m1           5.072e-03 10.1200 1.216e-11 4.196e-03 6.130e-03
-#&gt; f_parent_to_m1 5.004e-01 20.8300 4.317e-20 4.613e-01 5.394e-01
-#&gt; alpha          2.502e+02  0.5624 2.889e-01 2.463e+02 2.542e+02
-#&gt; beta           2.455e+03  0.5549 2.915e-01        NA        NA
-#&gt; sigma_low      2.488e-03  0.4843 3.158e-01 1.992e-03 2.984e-03
-#&gt; rsd_high       7.921e-02  8.4300 8.001e-10 6.018e-02 9.823e-02
-#&gt; 
-#&gt; FOCUS Chi2 error levels in percent:
-#&gt;          err.min n.optim df
-#&gt; All data   6.781       5 14
-#&gt; parent     7.141       3  6
-#&gt; m1         4.640       2  8
-#&gt; 
-#&gt; Resulting formation fractions:
-#&gt;                 ff
-#&gt; parent_m1   0.5004
-#&gt; parent_sink 0.4996
-#&gt; 
-#&gt; Estimated disappearance times:
-#&gt;           DT50  DT90 DT50back
-#&gt; parent   6.812  22.7    6.834
-#&gt; m1     136.661 454.0       NA</div><div class='input'>
-<span class='co'># We can easily use starting parameters from the parent only fit (only for illustration)</span>
-<span class='va'>fit.FOMC</span> <span class='op'>=</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='st'>"FOMC"</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-<span class='va'>fit.FOMC_SFO</span> <span class='op'>&lt;-</span> <span class='fu'>mkinfit</span><span class='op'>(</span><span class='va'>FOMC_SFO</span>, <span class='va'>FOCUS_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>,
-  parms.ini <span class='op'>=</span> <span class='va'>fit.FOMC</span><span class='op'>$</span><span class='va'>bparms.ode</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-<span class='co'># }</span>
-</div></pre>
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Use shorthand notation for parent only degradation</span></span></span>
+<span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_C</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for fitting:    1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:       4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:24:16 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:24:16 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type analytical </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted using 222 model solutions performed in 0.045 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model: Constant variance </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model algorithm: OLS </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Starting values for parameters to be optimised:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          value   type</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0  85.1  state</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> alpha      1.0 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> beta      10.0 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Starting values for the transformed parameters actually optimised:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>               value lower upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0  85.100000  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha  0.000000  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta   2.302585  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> None</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        AIC      BIC    logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   44.68652 45.47542 -18.34326</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised, transformed parameters with symmetric confidence intervals:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           Estimate Std. Error    Lower   Upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0  85.87000     1.8070 81.23000 90.5200</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha  0.05192     0.1353 -0.29580  0.3996</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta   0.65100     0.2287  0.06315  1.2390</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma      1.85700     0.4378  0.73200  2.9830</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Parameter correlation:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>             parent_0  log_alpha   log_beta     sigma</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0   1.000e+00 -1.565e-01 -3.142e-01 4.772e-08</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha -1.565e-01  1.000e+00  9.564e-01 1.005e-07</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta  -3.142e-01  9.564e-01  1.000e+00 8.541e-08</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma      4.772e-08  1.005e-07  8.541e-08 1.000e+00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Confidence intervals for internally transformed parameters are asymmetric.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> t-test (unrealistically) based on the assumption of normal distribution</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> for estimators of untransformed parameters.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          Estimate t value    Pr(&gt;t)   Lower  Upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0   85.870  47.530 3.893e-08 81.2300 90.520</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> alpha       1.053   7.393 3.562e-04  0.7439  1.491</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> beta        1.917   4.373 3.601e-03  1.0650  3.451</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma       1.857   4.243 4.074e-03  0.7320  2.983</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> FOCUS Chi2 error levels in percent:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          err.min n.optim df</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> All data   6.657       3  6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent     6.657       3  6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         DT50  DT90 DT50back</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent 1.785 15.15     4.56</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  time variable observed predicted residual</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     0   parent     85.1    85.875  -0.7749</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     1   parent     57.9    55.191   2.7091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     3   parent     29.9    31.845  -1.9452</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     7   parent     14.6    17.012  -2.4124</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    14   parent      9.7     9.241   0.4590</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    28   parent      6.6     4.754   1.8460</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    63   parent      4.0     2.102   1.8977</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    91   parent      3.9     1.441   2.4590</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   119   parent      0.6     1.092  -0.4919</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># One parent compound, one metabolite, both single first order.</span></span></span>
+<span class="r-in"><span><span class="co"># We remove zero values from FOCUS dataset D in order to avoid warnings</span></span></span>
+<span class="r-in"><span><span class="va">FOCUS_D</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">FOCUS_2006_D</span>, <span class="va">value</span> <span class="op">!=</span> <span class="fl">0</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># Use mkinsub for convenience in model formulation. Pathway to sink included per default.</span></span></span>
+<span class="r-in"><span><span class="va">SFO_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Fit the model quietly to the FOCUS example dataset D using defaults</span></span></span>
+<span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="plot.mkinfit.html">plot_sep</a></span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="mkinfit-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># As lower parent values appear to have lower variance, we try an alternative error model</span></span></span>
+<span class="r-in"><span><span class="va">fit.tc</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># This avoids the warning, and the likelihood ratio test confirms it is preferable</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/lmtest/man/lrtest.html" class="external-link">lrtest</a></span><span class="op">(</span><span class="va">fit.tc</span>, <span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood ratio test</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: SFO_SFO with error model tc and fixed parameter(s) m1_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model 2: SFO_SFO with error model const and fixed parameter(s) m1_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   #Df  LogLik Df  Chisq Pr(&gt;Chisq)    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   6 -64.983                         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   5 -97.224 -1 64.483  9.737e-16 ***</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-in"><span><span class="co"># We can also allow for different variances of parent and metabolite as error model</span></span></span>
+<span class="r-in"><span><span class="va">fit.obs</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># The two-component error model has significantly higher likelihood</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/lmtest/man/lrtest.html" class="external-link">lrtest</a></span><span class="op">(</span><span class="va">fit.obs</span>, <span class="va">fit.tc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood ratio test</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: SFO_SFO with error model tc and fixed parameter(s) m1_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model 2: SFO_SFO with error model obs and fixed parameter(s) m1_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   #Df  LogLik Df  Chisq Pr(&gt;Chisq)    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   6 -64.983                         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   6 -96.936  0 63.907  &lt; 2.2e-16 ***</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-in"><span><span class="fu"><a href="parms.html">parms</a></span><span class="op">(</span><span class="va">fit.tc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       parent_0       k_parent           k_m1 f_parent_to_m1      sigma_low </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1.007343e+02   1.005562e-01   5.166712e-03   5.083933e-01   3.049883e-03 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       rsd_high </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   7.928118e-02 </span>
+<span class="r-in"><span><span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">fit.tc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $ff</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   parent_m1 parent_sink </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   0.5083933   0.4916067 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> $distimes</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>             DT50      DT90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent   6.89313  22.89848</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> m1     134.15634 445.65772</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># We can show a quick (only one replication) benchmark for this case, as we</span></span></span>
+<span class="r-in"><span><span class="co"># have several alternative solution methods for the model. We skip</span></span></span>
+<span class="r-in"><span><span class="co"># uncompiled deSolve, as it is so slow. More benchmarks are found in the</span></span></span>
+<span class="r-in"><span><span class="co"># benchmark vignette</span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="kw">if</span><span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="http://rbenchmark.googlecode.com" class="external-link">rbenchmark</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/rbenchmark/man/benchmark.html" class="external-link">benchmark</a></span><span class="op">(</span>replications <span class="op">=</span> <span class="fl">1</span>, order <span class="op">=</span> <span class="st">"relative"</span>, columns <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"test"</span>, <span class="st">"relative"</span>, <span class="st">"elapsed"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    deSolve_compiled <span class="op">=</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>,</span></span>
+<span class="r-in"><span>      solution_type <span class="op">=</span> <span class="st">"deSolve"</span>, use_compiled <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    eigen <span class="op">=</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>,</span></span>
+<span class="r-in"><span>      solution_type <span class="op">=</span> <span class="st">"eigen"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    analytical <span class="op">=</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>,</span></span>
+<span class="r-in"><span>      solution_type <span class="op">=</span> <span class="st">"analytical"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>               test relative elapsed</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3       analytical    1.000   0.605</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 deSolve_compiled    1.448   0.876</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2            eigen    2.479   1.500</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Use stepwise fitting, using optimised parameters from parent only fit, FOMC-SFO</span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">FOMC_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span><span class="va">fit.FOMC_SFO</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">FOMC_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># Again, we get a warning and try a more sophisticated error model</span></span></span>
+<span class="r-in"><span><span class="va">fit.FOMC_SFO.tc</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">FOMC_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># This model has a higher likelihood, but not significantly so</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/lmtest/man/lrtest.html" class="external-link">lrtest</a></span><span class="op">(</span><span class="va">fit.tc</span>, <span class="va">fit.FOMC_SFO.tc</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood ratio test</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: FOMC_SFO with error model tc and fixed parameter(s) m1_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model 2: SFO_SFO with error model tc and fixed parameter(s) m1_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   #Df  LogLik Df  Chisq Pr(&gt;Chisq)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   7 -64.829                     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   6 -64.983 -1 0.3075     0.5792</span>
+<span class="r-in"><span><span class="co"># Also, the missing standard error for log_beta and the t-tests for alpha</span></span></span>
+<span class="r-in"><span><span class="co"># and beta indicate overparameterisation</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fit.FOMC_SFO.tc</span>, data <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>NaNs produced</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>NaNs produced</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>diag(.) had 0 or NA entries; non-finite result is doubtful</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for fitting:    1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:       4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:24:27 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:24:27 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - (alpha/beta) * 1/((time/beta) + 1) * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_m1/dt = + f_parent_to_m1 * (alpha/beta) * 1/((time/beta) + 1) *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            parent - k_m1 * m1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type deSolve </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted using 3729 model solutions performed in 2.475 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model: Two-component variance function </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model algorithm: d_3 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Direct fitting and three-step fitting yield approximately the same likelihood </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Starting values for parameters to be optimised:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 value   type</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0       100.75  state</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> alpha            1.00 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> beta            10.00 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_m1             0.10 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_to_m1   0.50 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma_low        0.10  error</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> rsd_high         0.10  error</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Starting values for the transformed parameters actually optimised:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      value lower upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0        100.750000  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1         -2.302585  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis   0.000000  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha         0.000000  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta          2.302585  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma_low         0.100000     0   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> rsd_high          0.100000     0   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      value  type</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> m1_0     0 state</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       AIC      BIC    logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   143.658 155.1211 -64.82902</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised, transformed parameters with symmetric confidence intervals:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   Estimate Std. Error     Lower      Upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0        101.600000  2.6400000 96.240000 107.000000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1         -5.284000  0.0929100 -5.474000  -5.095000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis   0.001426  0.0767000 -0.155000   0.157800</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha         5.522000  0.0077320  5.506000   5.538000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta          7.806000        NaN       NaN        NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma_low         0.002488  0.0002431  0.001992   0.002984</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> rsd_high          0.079210  0.0093280  0.060180   0.098230</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Parameter correlation:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                  parent_0  log_k_m1 f_parent_qlogis log_alpha log_beta</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0         1.000000 -0.095226        -0.76678   0.70544      NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1        -0.095226  1.000000         0.51432  -0.14387      NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis -0.766780  0.514321         1.00000  -0.61396      NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha        0.705444 -0.143872        -0.61396   1.00000      NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta              NaN       NaN             NaN       NaN        1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma_low        0.016073  0.001586         0.01548   5.87007      NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> rsd_high         0.006626 -0.011700        -0.05357   0.04849      NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 sigma_low  rsd_high</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0         0.016073  0.006626</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1         0.001586 -0.011700</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis  0.015476 -0.053566</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_alpha        5.870075  0.048487</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_beta              NaN       NaN</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma_low        1.000000 -0.652558</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> rsd_high        -0.652558  1.000000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Confidence intervals for internally transformed parameters are asymmetric.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> t-test (unrealistically) based on the assumption of normal distribution</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> for estimators of untransformed parameters.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 Estimate t value    Pr(&gt;t)     Lower     Upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0       1.016e+02 32.7800 6.311e-26 9.624e+01 1.070e+02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_m1           5.072e-03 10.1200 1.216e-11 4.196e-03 6.130e-03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_to_m1 5.004e-01 20.8300 4.317e-20 4.613e-01 5.394e-01</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> alpha          2.502e+02  0.5624 2.889e-01 2.463e+02 2.542e+02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> beta           2.455e+03  0.5549 2.915e-01        NA        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma_low      2.488e-03  0.4843 3.158e-01 1.992e-03 2.984e-03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> rsd_high       7.921e-02  8.4300 8.001e-10 6.018e-02 9.823e-02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> FOCUS Chi2 error levels in percent:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          err.min n.optim df</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> All data   6.781       5 14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent     7.141       3  6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> m1         4.640       2  8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Resulting formation fractions:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 ff</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_m1   0.5004</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_sink 0.4996</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           DT50  DT90 DT50back</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent   6.812  22.7    6.834</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> m1     136.661 454.0       NA</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># We can easily use starting parameters from the parent only fit (only for illustration)</span></span></span>
+<span class="r-in"><span><span class="va">fit.FOMC</span> <span class="op">=</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">FOCUS_2006_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">fit.FOMC_SFO</span> <span class="op">&lt;-</span> <span class="fu">mkinfit</span><span class="op">(</span><span class="va">FOMC_SFO</span>, <span class="va">FOCUS_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>,</span></span>
+<span class="r-in"><span>  parms.ini <span class="op">=</span> <span class="va">fit.FOMC</span><span class="op">$</span><span class="va">bparms.ode</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
-      </footer>
-   </div>
+      </footer></div>
 
   
 
 
-  </body>
-</html>
+  
 
+  </body></html>
 
diff --git a/docs/dev/reference/nlme.mmkin-1.png b/docs/dev/reference/nlme.mmkin-1.png
index d93b0950..45e4eebe 100644
--- a/docs/dev/reference/nlme.mmkin-1.png
+++ b/docs/dev/reference/nlme.mmkin-1.png
diff --git a/docs/dev/reference/nlme.mmkin-2.png b/docs/dev/reference/nlme.mmkin-2.png
index 5afccfbb..b9a68e92 100644
--- a/docs/dev/reference/nlme.mmkin-2.png
+++ b/docs/dev/reference/nlme.mmkin-2.png
diff --git a/docs/dev/reference/nlme.mmkin-3.png b/docs/dev/reference/nlme.mmkin-3.png
index bf3aac6c..2a724bed 100644
--- a/docs/dev/reference/nlme.mmkin-3.png
+++ b/docs/dev/reference/nlme.mmkin-3.png
diff --git a/docs/dev/reference/nlme.mmkin.html b/docs/dev/reference/nlme.mmkin.html
index e138ddd4..2bbadb88 100644
--- a/docs/dev/reference/nlme.mmkin.html
+++ b/docs/dev/reference/nlme.mmkin.html
@@ -19,7 +19,7 @@ have been obtained by fitting the same model to a list of datasets."><meta name=
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -28,7 +28,7 @@ have been obtained by fitting the same model to a list of datasets."><meta name=
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -43,6 +43,9 @@ have been obtained by fitting the same model to a list of datasets."><meta name=
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -88,78 +91,115 @@ have been obtained by fitting the same model to a list of datasets.</p>
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="co"># S3 method for mmkin</span>
-<span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span>
-  <span class="va">model</span>,
-  data <span class="op">=</span> <span class="st">"auto"</span>,
-  fixed <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">as.list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="fu"><a href="mean_degparms.html">mean_degparms</a></span><span class="op">(</span><span class="va">model</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>, <span class="kw">function</span><span class="op">(</span><span class="va">el</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/eval.html" class="external-link">eval</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/parse.html" class="external-link">parse</a></span><span class="op">(</span>text <span class="op">=</span>
-    <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="va">el</span>, <span class="fl">1</span>, sep <span class="op">=</span> <span class="st">"~"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>,
-  random <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/pdDiag.html" class="external-link">pdDiag</a></span><span class="op">(</span><span class="va">fixed</span><span class="op">)</span>,
-  <span class="va">groups</span>,
-  start <span class="op">=</span> <span class="fu"><a href="mean_degparms.html">mean_degparms</a></span><span class="op">(</span><span class="va">model</span>, random <span class="op">=</span> <span class="cn">TRUE</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,
-  correlation <span class="op">=</span> <span class="cn">NULL</span>,
-  weights <span class="op">=</span> <span class="cn">NULL</span>,
-  <span class="va">subset</span>,
-  method <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"ML"</span>, <span class="st">"REML"</span><span class="op">)</span>,
-  na.action <span class="op">=</span> <span class="va">na.fail</span>,
-  <span class="va">naPattern</span>,
-  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,
-  verbose <span class="op">=</span> <span class="cn">FALSE</span>
-<span class="op">)</span>
-
-<span class="co"># S3 method for nlme.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span>
-
-<span class="co"># S3 method for nlme.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span></span>
+<span>  <span class="va">model</span>,</span>
+<span>  data <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  fixed <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">as.list</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="fu"><a href="mean_degparms.html">mean_degparms</a></span><span class="op">(</span><span class="va">model</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>, <span class="kw">function</span><span class="op">(</span><span class="va">el</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/eval.html" class="external-link">eval</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/parse.html" class="external-link">parse</a></span><span class="op">(</span>text <span class="op">=</span></span>
+<span>    <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="va">el</span>, <span class="fl">1</span>, sep <span class="op">=</span> <span class="st">"~"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>  random <span class="op">=</span> <span class="fu">pdDiag</span><span class="op">(</span><span class="va">fixed</span><span class="op">)</span>,</span>
+<span>  <span class="va">groups</span>,</span>
+<span>  start <span class="op">=</span> <span class="fu"><a href="mean_degparms.html">mean_degparms</a></span><span class="op">(</span><span class="va">model</span>, random <span class="op">=</span> <span class="cn">TRUE</span>, test_log_parms <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span>,</span>
+<span>  correlation <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  weights <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  <span class="va">subset</span>,</span>
+<span>  method <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"ML"</span>, <span class="st">"REML"</span><span class="op">)</span>,</span>
+<span>  na.action <span class="op">=</span> <span class="va">na.fail</span>,</span>
+<span>  <span class="va">naPattern</span>,</span>
+<span>  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  verbose <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for nlme.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for nlme.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>model</dt>
 <dd><p>An <a href="mmkin.html">mmkin</a> row object.</p></dd>
+
+
 <dt>data</dt>
 <dd><p>Ignored, data are taken from the mmkin model</p></dd>
+
+
 <dt>fixed</dt>
 <dd><p>Ignored, all degradation parameters fitted in the
 mmkin model are used as fixed parameters</p></dd>
+
+
 <dt>random</dt>
 <dd><p>If not specified, no correlations between random effects are
 set up for the optimised degradation model parameters. This is
 achieved by using the <a href="https://rdrr.io/pkg/nlme/man/pdDiag.html" class="external-link">nlme::pdDiag</a> method.</p></dd>
+
+
 <dt>groups</dt>
 <dd><p>See the documentation of nlme</p></dd>
+
+
 <dt>start</dt>
 <dd><p>If not specified, mean values of the fitted degradation
 parameters taken from the mmkin object are used</p></dd>
+
+
 <dt>correlation</dt>
 <dd><p>See the documentation of nlme</p></dd>
+
+
 <dt>weights</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>subset</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>method</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>na.action</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>naPattern</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>control</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>verbose</dt>
 <dd><p>passed to nlme</p></dd>
+
+
 <dt>x</dt>
 <dd><p>An nlme.mmkin object to print</p></dd>
+
+
 <dt>digits</dt>
 <dd><p>Number of digits to use for printing</p></dd>
+
+
 <dt>...</dt>
 <dd><p>Update specifications passed to update.nlme</p></dd>
+
+
 <dt>object</dt>
 <dd><p>An nlme.mmkin object to update</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>Upon success, a fitted 'nlme.mmkin' object, which is an nlme object
+    
+
+<p>Upon success, a fitted 'nlme.mmkin' object, which is an nlme object
 with additional elements. It also inherits from 'mixed.mmkin'.</p>
     </div>
     <div id="details">
@@ -182,20 +222,19 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 
     <div id="ref-examples">
     <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span>
-<span class="r-in"> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span>, <span class="va">name</span> <span class="op">==</span> <span class="st">"parent"</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span>
-<span class="r-in"><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/" class="external-link">nlme</a></span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_nlme_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># \dontrun{</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="va">f_nlme_dfop</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_nlme_sfo</span>, <span class="va">f_nlme_dfop</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span></span>
+<span class="r-in"><span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span>, <span class="va">name</span> <span class="op">==</span> <span class="st">"parent"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span>  <span class="va">f</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/" class="external-link">nlme</a></span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">f_nlme_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">f_nlme_dfop</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_nlme_sfo</span>, <span class="va">f_nlme_dfop</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>             Model df      AIC      BIC    logLik   Test  L.Ratio p-value</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_sfo      1  5 625.0539 637.5529 -307.5269                        </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_dfop     2  9 495.1270 517.6253 -238.5635 1 vs 2 137.9269  &lt;.0001</span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_nlme_dfop</span><span class="op">)</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_nlme_dfop</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Kinetic nonlinear mixed-effects model fit by maximum likelihood</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Structural model:</span>
@@ -220,50 +259,50 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 <span class="r-out co"><span class="r-pr">#&gt;</span>         parent_0 log_k1 log_k2 g_qlogis Residual</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> StdDev:    2.488 0.8447   1.33   0.4652    2.321</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme_dfop</span><span class="op">)</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme_dfop</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="nlme.mmkin-1.png" alt="" width="700" height="433"></span>
-<span class="r-in">  <span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">f_nlme_dfop</span><span class="op">)</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">f_nlme_dfop</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $distimes</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            DT50     DT90 DT50back  DT50_k1  DT50_k2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent 10.79857 100.7937 30.34193 4.193938 43.85443</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="va">ds_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span>
-<span class="r-in">   <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span>
-<span class="r-in">  <span class="va">m_sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">    A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"min"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in">  <span class="va">m_sfo_sfo_ff</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">    A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"max"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in">  <span class="va">m_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">    A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="va">f_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"SFO-SFO"</span> <span class="op">=</span> <span class="va">m_sfo_sfo</span>,</span>
-<span class="r-in">   <span class="st">"SFO-SFO-ff"</span> <span class="op">=</span> <span class="va">m_sfo_sfo_ff</span>,</span>
-<span class="r-in">   <span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">m_dfop_sfo</span><span class="op">)</span>,</span>
-<span class="r-in">    <span class="va">ds_2</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="va">f_nlme_sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2</span><span class="op">[</span><span class="st">"SFO-SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme_sfo_sfo</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="va">ds_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span></span>
+<span class="r-in"><span>   <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">m_sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"min"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">m_sfo_sfo_ff</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, use_of_ff <span class="op">=</span> <span class="st">"max"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">m_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="va">f_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"SFO-SFO"</span> <span class="op">=</span> <span class="va">m_sfo_sfo</span>,</span></span>
+<span class="r-in"><span>   <span class="st">"SFO-SFO-ff"</span> <span class="op">=</span> <span class="va">m_sfo_sfo_ff</span>,</span></span>
+<span class="r-in"><span>   <span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">m_dfop_sfo</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="va">ds_2</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="va">f_nlme_sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2</span><span class="op">[</span><span class="st">"SFO-SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme_sfo_sfo</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="nlme.mmkin-2.png" alt="" width="700" height="433"></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="co"># With formation fractions this does not coverge with defaults</span></span>
-<span class="r-in">  <span class="co"># f_nlme_sfo_sfo_ff &lt;- nlme(f_2["SFO-SFO-ff", ])</span></span>
-<span class="r-in">  <span class="co">#plot(f_nlme_sfo_sfo_ff)</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="co"># For the following, we need to increase pnlsMaxIter and the tolerance</span></span>
-<span class="r-in">  <span class="co"># to get convergence</span></span>
-<span class="r-in">  <span class="va">f_nlme_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2</span><span class="op">[</span><span class="st">"DFOP-SFO"</span>, <span class="op">]</span>,</span>
-<span class="r-in">    control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>pnlsMaxIter <span class="op">=</span> <span class="fl">120</span>, tolerance <span class="op">=</span> <span class="fl">5e-4</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="co"># With formation fractions this does not coverge with defaults</span></span></span>
+<span class="r-in"><span>  <span class="co"># f_nlme_sfo_sfo_ff &lt;- nlme(f_2["SFO-SFO-ff", ])</span></span></span>
+<span class="r-in"><span>  <span class="co">#plot(f_nlme_sfo_sfo_ff)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="co"># For the following, we need to increase pnlsMaxIter and the tolerance</span></span></span>
+<span class="r-in"><span>  <span class="co"># to get convergence</span></span></span>
+<span class="r-in"><span>  <span class="va">f_nlme_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2</span><span class="op">[</span><span class="st">"DFOP-SFO"</span>, <span class="op">]</span>,</span></span>
+<span class="r-in"><span>    control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>pnlsMaxIter <span class="op">=</span> <span class="fl">120</span>, tolerance <span class="op">=</span> <span class="fl">5e-4</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="nlme.mmkin-3.png" alt="" width="700" height="433"></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span>, <span class="va">f_nlme_sfo_sfo</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span>, <span class="va">f_nlme_sfo_sfo</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>                 Model df       AIC       BIC    logLik   Test  L.Ratio p-value</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_dfop_sfo     1 13  843.8547  884.6201 -408.9274                        </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_sfo_sfo      2  9 1085.1821 1113.4043 -533.5910 1 vs 2 249.3274  &lt;.0001</span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">f_nlme_sfo_sfo</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">f_nlme_sfo_sfo</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ff</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent_sink   parent_A1     A1_sink </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   0.5912432   0.4087568   1.0000000 </span>
@@ -273,7 +312,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent 19.13518  63.5657</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> A1     66.02155 219.3189</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in">  <span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span><span class="op">)</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="endpoints.html">endpoints</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $ff</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   parent_A1 parent_sink </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   0.2768574   0.7231426 </span>
@@ -283,17 +322,17 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 <span class="r-out co"><span class="r-pr">#&gt;</span> parent  11.07091 104.6320 31.49737 4.462383 46.20825</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> A1     162.30519 539.1662       NA       NA       NA</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="fu">findFunction</span><span class="op">(</span><span class="st">"varConstProp"</span><span class="op">)</span><span class="op">)</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="op">{</span> <span class="co"># tc error model for nlme available</span></span>
-<span class="r-in">    <span class="co"># Attempts to fit metabolite kinetics with the tc error model are possible,</span></span>
-<span class="r-in">    <span class="co"># but need tweeking of control values and sometimes do not converge</span></span>
-<span class="r-in"></span>
-<span class="r-in">    <span class="va">f_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span>
-<span class="r-in">    <span class="va">f_nlme_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-in">    <span class="va">f_nlme_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-in">    <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_nlme_sfo</span>, <span class="va">f_nlme_sfo_tc</span>, <span class="va">f_nlme_dfop</span>, <span class="va">f_nlme_dfop_tc</span><span class="op">)</span></span>
-<span class="r-in">    <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_nlme_dfop_tc</span><span class="op">)</span></span>
-<span class="r-in">  <span class="op">}</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="fu">findFunction</span><span class="op">(</span><span class="st">"varConstProp"</span><span class="op">)</span><span class="op">)</span> <span class="op">&gt;</span> <span class="fl">0</span><span class="op">)</span> <span class="op">{</span> <span class="co"># tc error model for nlme available</span></span></span>
+<span class="r-in"><span>    <span class="co"># Attempts to fit metabolite kinetics with the tc error model are possible,</span></span></span>
+<span class="r-in"><span>    <span class="co"># but need tweeking of control values and sometimes do not converge</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>    <span class="va">f_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>    <span class="va">f_nlme_sfo_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_tc</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>    <span class="va">f_nlme_dfop_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_tc</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_nlme_sfo</span>, <span class="va">f_nlme_sfo_tc</span>, <span class="va">f_nlme_dfop</span>, <span class="va">f_nlme_dfop_tc</span><span class="op">)</span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_nlme_dfop_tc</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="op">}</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Kinetic nonlinear mixed-effects model fit by maximum likelihood</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Structural model:</span>
@@ -324,10 +363,10 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 <span class="r-out co"><span class="r-pr">#&gt;</span>  Parameter estimates:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      const       prop </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2.23223147 0.01262395 </span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="va">f_2_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_2</span>, error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span></span>
-<span class="r-in">  <span class="va">f_nlme_sfo_sfo_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2_obs</span><span class="op">[</span><span class="st">"SFO-SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_nlme_sfo_sfo_obs</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="va">f_2_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_2</span>, error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">f_nlme_sfo_sfo_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2_obs</span><span class="op">[</span><span class="st">"SFO-SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_nlme_sfo_sfo_obs</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Kinetic nonlinear mixed-effects model fit by maximum likelihood</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Structural model:</span>
@@ -357,23 +396,23 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 <span class="r-out co"><span class="r-pr">#&gt;</span>  Parameter estimates:</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    parent        A1 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1.0000000 0.2049995 </span>
-<span class="r-in">  <span class="va">f_nlme_dfop_sfo_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2_obs</span><span class="op">[</span><span class="st">"DFOP-SFO"</span>, <span class="op">]</span>,</span>
-<span class="r-in">    control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>pnlsMaxIter <span class="op">=</span> <span class="fl">120</span>, tolerance <span class="op">=</span> <span class="fl">5e-4</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="va">f_2_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_2</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span>
-<span class="r-in">  <span class="co"># f_nlme_sfo_sfo_tc &lt;- nlme(f_2_tc["SFO-SFO", ]) # No convergence with 50 iterations</span></span>
-<span class="r-in">  <span class="co"># f_nlme_dfop_sfo_tc &lt;- nlme(f_2_tc["DFOP-SFO", ],</span></span>
-<span class="r-in">  <span class="co">#  control = list(pnlsMaxIter = 120, tolerance = 5e-4)) # Error in X[, fmap[[nm]]] &lt;- gradnm</span></span>
-<span class="r-in"></span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span>, <span class="va">f_nlme_dfop_sfo_obs</span><span class="op">)</span></span>
+<span class="r-in"><span>  <span class="va">f_nlme_dfop_sfo_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_2_obs</span><span class="op">[</span><span class="st">"DFOP-SFO"</span>, <span class="op">]</span>,</span></span>
+<span class="r-in"><span>    control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>pnlsMaxIter <span class="op">=</span> <span class="fl">120</span>, tolerance <span class="op">=</span> <span class="fl">5e-4</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="va">f_2_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_2</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="co"># f_nlme_sfo_sfo_tc &lt;- nlme(f_2_tc["SFO-SFO", ]) # No convergence with 50 iterations</span></span></span>
+<span class="r-in"><span>  <span class="co"># f_nlme_dfop_sfo_tc &lt;- nlme(f_2_tc["DFOP-SFO", ],</span></span></span>
+<span class="r-in"><span>  <span class="co">#  control = list(pnlsMaxIter = 120, tolerance = 5e-4)) # Error in X[, fmap[[nm]]] &lt;- gradnm</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/stats/anova.html" class="external-link">anova</a></span><span class="op">(</span><span class="va">f_nlme_dfop_sfo</span>, <span class="va">f_nlme_dfop_sfo_obs</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>                     Model df      AIC      BIC    logLik   Test  L.Ratio</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_dfop_sfo         1 13 843.8547 884.6201 -408.9274                </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_dfop_sfo_obs     2 14 817.5338 861.4350 -394.7669 1 vs 2 28.32091</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>                     p-value</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_dfop_sfo            </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> f_nlme_dfop_sfo_obs  &lt;.0001</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># }</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
   </div>
@@ -388,7 +427,7 @@ methods that will automatically work on 'nlme.mmkin' objects, such as
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/plot.mixed.mmkin-2.png b/docs/dev/reference/plot.mixed.mmkin-2.png
index 67c9b8ab..8678c166 100644
--- a/docs/dev/reference/plot.mixed.mmkin-2.png
+++ b/docs/dev/reference/plot.mixed.mmkin-2.png
diff --git a/docs/dev/reference/plot.mixed.mmkin-3.png b/docs/dev/reference/plot.mixed.mmkin-3.png
index 7e2876b3..9bd01852 100644
--- a/docs/dev/reference/plot.mixed.mmkin-3.png
+++ b/docs/dev/reference/plot.mixed.mmkin-3.png
diff --git a/docs/dev/reference/plot.mixed.mmkin-4.png b/docs/dev/reference/plot.mixed.mmkin-4.png
index 945c4d41..d2fa1ae1 100644
--- a/docs/dev/reference/plot.mixed.mmkin-4.png
+++ b/docs/dev/reference/plot.mixed.mmkin-4.png
diff --git a/docs/dev/reference/plot.mixed.mmkin.html b/docs/dev/reference/plot.mixed.mmkin.html
index 19b8e2c1..83017908 100644
--- a/docs/dev/reference/plot.mixed.mmkin.html
+++ b/docs/dev/reference/plot.mixed.mmkin.html
@@ -17,7 +17,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -26,7 +26,7 @@
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -41,6 +41,9 @@
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -84,90 +87,139 @@
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="co"># S3 method for mixed.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span>
-  <span class="va">x</span>,
-  i <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">ncol</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">mmkin</span><span class="op">)</span>,
-  obs_vars <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">mkinmod</span><span class="op">$</span><span class="va">map</span><span class="op">)</span>,
-  standardized <span class="op">=</span> <span class="cn">TRUE</span>,
-  xlab <span class="op">=</span> <span class="st">"Time"</span>,
-  xlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/range.html" class="external-link">range</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">$</span><span class="va">time</span><span class="op">)</span>,
-  resplot <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"predicted"</span>, <span class="st">"time"</span><span class="op">)</span>,
-  pred_over <span class="op">=</span> <span class="cn">NULL</span>,
-  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,
-  conf.level <span class="op">=</span> <span class="fl">0.6</span>,
-  ymax <span class="op">=</span> <span class="st">"auto"</span>,
-  maxabs <span class="op">=</span> <span class="st">"auto"</span>,
-  ncol.legend <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">&lt;=</span> <span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span>, <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">&lt;=</span> <span class="fl">8</span>, <span class="fl">3</span>, <span class="fl">4</span><span class="op">)</span><span class="op">)</span>,
-  nrow.legend <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">ceiling</a></span><span class="op">(</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span><span class="op">)</span><span class="op">/</span><span class="va">ncol.legend</span><span class="op">)</span>,
-  rel.height.legend <span class="op">=</span> <span class="fl">0.02</span> <span class="op">+</span> <span class="fl">0.07</span> <span class="op">*</span> <span class="va">nrow.legend</span>,
-  rel.height.bottom <span class="op">=</span> <span class="fl">1.1</span>,
-  pch_ds <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span>,
-  col_ds <span class="op">=</span> <span class="va">pch_ds</span> <span class="op">+</span> <span class="fl">1</span>,
-  lty_ds <span class="op">=</span> <span class="va">col_ds</span>,
-  frame <span class="op">=</span> <span class="cn">TRUE</span>,
-  <span class="va">...</span>
-<span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mixed.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span></span>
+<span>  <span class="va">x</span>,</span>
+<span>  i <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fu"><a href="https://rdrr.io/r/base/nrow.html" class="external-link">ncol</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">mmkin</span><span class="op">)</span>,</span>
+<span>  obs_vars <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">mkinmod</span><span class="op">$</span><span class="va">map</span><span class="op">)</span>,</span>
+<span>  standardized <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  xlab <span class="op">=</span> <span class="st">"Time"</span>,</span>
+<span>  xlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/range.html" class="external-link">range</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">$</span><span class="va">time</span><span class="op">)</span>,</span>
+<span>  resplot <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"predicted"</span>, <span class="st">"time"</span><span class="op">)</span>,</span>
+<span>  pred_over <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span>
+<span>  default_log_parms <span class="op">=</span> <span class="cn">NA</span>,</span>
+<span>  ymax <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  maxabs <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  ncol.legend <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">&lt;=</span> <span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span>, <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">&lt;=</span> <span class="fl">8</span>, <span class="fl">3</span>, <span class="fl">4</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>  nrow.legend <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">ceiling</a></span><span class="op">(</span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">+</span> <span class="fl">1</span><span class="op">)</span><span class="op">/</span><span class="va">ncol.legend</span><span class="op">)</span>,</span>
+<span>  rel.height.legend <span class="op">=</span> <span class="fl">0.02</span> <span class="op">+</span> <span class="fl">0.07</span> <span class="op">*</span> <span class="va">nrow.legend</span>,</span>
+<span>  rel.height.bottom <span class="op">=</span> <span class="fl">1.1</span>,</span>
+<span>  pch_ds <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">i</span><span class="op">)</span>,</span>
+<span>  col_ds <span class="op">=</span> <span class="va">pch_ds</span> <span class="op">+</span> <span class="fl">1</span>,</span>
+<span>  lty_ds <span class="op">=</span> <span class="va">col_ds</span>,</span>
+<span>  frame <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>x</dt>
 <dd><p>An object of class <a href="mixed.html">mixed.mmkin</a>, <a href="saem.html">saem.mmkin</a> or <a href="nlme.mmkin.html">nlme.mmkin</a></p></dd>
+
+
 <dt>i</dt>
 <dd><p>A numeric index to select datasets for which to plot the individual predictions,
 in case plots get too large</p></dd>
+
+
 <dt>obs_vars</dt>
 <dd><p>A character vector of names of the observed variables for
 which the data and the model should be plotted. Defauls to all observed
 variables in the model.</p></dd>
+
+
 <dt>standardized</dt>
 <dd><p>Should the residuals be standardized? Only takes effect if
 <code>resplot = "time"</code>.</p></dd>
+
+
 <dt>xlab</dt>
 <dd><p>Label for the x axis.</p></dd>
+
+
 <dt>xlim</dt>
 <dd><p>Plot range in x direction.</p></dd>
+
+
 <dt>resplot</dt>
 <dd><p>Should the residuals plotted against time or against
 predicted values?</p></dd>
+
+
 <dt>pred_over</dt>
 <dd><p>Named list of alternative predictions as obtained
 from <a href="mkinpredict.html">mkinpredict</a> with a compatible <a href="mkinmod.html">mkinmod</a>.</p></dd>
+
+
 <dt>test_log_parms</dt>
 <dd><p>Passed to <a href="mean_degparms.html">mean_degparms</a> in the case of an
 <a href="mixed.html">mixed.mmkin</a> object</p></dd>
+
+
 <dt>conf.level</dt>
 <dd><p>Passed to <a href="mean_degparms.html">mean_degparms</a> in the case of an
 <a href="mixed.html">mixed.mmkin</a> object</p></dd>
+
+
+<dt>default_log_parms</dt>
+<dd><p>Passed to <a href="mean_degparms.html">mean_degparms</a> in the case of an
+<a href="mixed.html">mixed.mmkin</a> object</p></dd>
+
+
 <dt>ymax</dt>
 <dd><p>Vector of maximum y axis values</p></dd>
+
+
 <dt>maxabs</dt>
 <dd><p>Maximum absolute value of the residuals. This is used for the
 scaling of the y axis and defaults to "auto".</p></dd>
+
+
 <dt>ncol.legend</dt>
 <dd><p>Number of columns to use in the legend</p></dd>
+
+
 <dt>nrow.legend</dt>
 <dd><p>Number of rows to use in the legend</p></dd>
+
+
 <dt>rel.height.legend</dt>
 <dd><p>The relative height of the legend shown on top</p></dd>
+
+
 <dt>rel.height.bottom</dt>
 <dd><p>The relative height of the bottom plot row</p></dd>
+
+
 <dt>pch_ds</dt>
 <dd><p>Symbols to be used for plotting the data.</p></dd>
+
+
 <dt>col_ds</dt>
 <dd><p>Colors used for plotting the observed data and the
 corresponding model prediction lines for the different datasets.</p></dd>
+
+
 <dt>lty_ds</dt>
 <dd><p>Line types to be used for the model predictions.</p></dd>
+
+
 <dt>frame</dt>
 <dd><p>Should a frame be drawn around the plots?</p></dd>
+
+
 <dt>...</dt>
 <dd><p>Further arguments passed to <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></code>.</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>The function is called for its side effect.</p>
+    
+
+<p>The function is called for its side effect.</p>
     </div>
     <div id="author">
     <h2>Author</h2>
@@ -176,42 +228,41 @@ corresponding model prediction lines for the different datasets.</p></dd>
 
     <div id="ref-examples">
     <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span>
-<span class="r-in"> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"ds "</span>, <span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="co"># \dontrun{</span></span>
-<span class="r-in"><span class="va">f</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">dfop_sfo</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span>, <span class="fl">3</span><span class="op">:</span><span class="fl">4</span><span class="op">]</span>, standardized <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span></span>
+<span class="r-in"><span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste0</a></span><span class="op">(</span><span class="st">"ds "</span>, <span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">f</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">dfop_sfo</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f</span><span class="op">[</span>, <span class="fl">3</span><span class="op">:</span><span class="fl">4</span><span class="op">]</span>, standardized <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="plot.mixed.mmkin-1.png" alt="" width="700" height="433"></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># For this fit we need to increase pnlsMaxiter, and we increase the</span></span>
-<span class="r-in"><span class="co"># tolerance in order to speed up the fit for this example evaluation</span></span>
-<span class="r-in"><span class="co"># It still takes 20 seconds to run</span></span>
-<span class="r-in"><span class="va">f_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span>, control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>pnlsMaxIter <span class="op">=</span> <span class="fl">120</span>, tolerance <span class="op">=</span> <span class="fl">1e-3</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># For this fit we need to increase pnlsMaxiter, and we increase the</span></span></span>
+<span class="r-in"><span><span class="co"># tolerance in order to speed up the fit for this example evaluation</span></span></span>
+<span class="r-in"><span><span class="co"># It still takes 20 seconds to run</span></span></span>
+<span class="r-in"><span><span class="va">f_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f</span>, control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>pnlsMaxIter <span class="op">=</span> <span class="fl">120</span>, tolerance <span class="op">=</span> <span class="fl">1e-3</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlme</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="plot.mixed.mmkin-2.png" alt="" width="700" height="433"></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">f_saem</span> <span class="op">&lt;-</span> <span class="fu"><a href="saem.html">saem</a></span><span class="op">(</span><span class="va">f</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in saem(f, transformations = "saemix"):</span> unused argument (transformations = "saemix")</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in plot(f_saem):</span> object 'f_saem' not found</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">f_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">dfop_sfo</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_nlmix</span> <span class="op">&lt;-</span> <span class="fu">nlmix</span><span class="op">(</span><span class="va">f_obs</span><span class="op">)</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">f_saem</span> <span class="op">&lt;-</span> <span class="fu"><a href="saem.html">saem</a></span><span class="op">(</span><span class="va">f</span>, transformations <span class="op">=</span> <span class="st">"saemix"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mixed.mmkin-3.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">f_obs</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">dfop_sfo</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"obs"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_nlmix</span> <span class="op">&lt;-</span> <span class="fu">nlmix</span><span class="op">(</span><span class="va">f_obs</span><span class="op">)</span></span></span>
 <span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in nlmix(f_obs):</span> could not find function "nlmix"</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlmix</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_nlmix</span><span class="op">)</span></span></span>
 <span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in plot(f_nlmix):</span> object 'f_nlmix' not found</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># We can overlay the two variants if we generate predictions</span></span>
-<span class="r-in"><span class="va">pred_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">dfop_sfo</span>,</span>
-<span class="r-in">  <span class="va">f_nlme</span><span class="op">$</span><span class="va">bparms.optim</span><span class="op">[</span><span class="op">-</span><span class="fl">1</span><span class="op">]</span>,</span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="va">f_nlme</span><span class="op">$</span><span class="va">bparms.optim</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span>, A1 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span>
-<span class="r-in">  <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">180</span>, by <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem</span>, pred_over <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>nlme <span class="op">=</span> <span class="va">pred_nlme</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in plot(f_saem, pred_over = list(nlme = pred_nlme)):</span> object 'f_saem' not found</span>
-<span class="r-in"><span class="co"># }</span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># We can overlay the two variants if we generate predictions</span></span></span>
+<span class="r-in"><span><span class="va">pred_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">dfop_sfo</span>,</span></span>
+<span class="r-in"><span>  <span class="va">f_nlme</span><span class="op">$</span><span class="va">bparms.optim</span><span class="op">[</span><span class="op">-</span><span class="fl">1</span><span class="op">]</span>,</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="va">f_nlme</span><span class="op">$</span><span class="va">bparms.optim</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span>, A1 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/seq.html" class="external-link">seq</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">180</span>, by <span class="op">=</span> <span class="fl">0.2</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem</span>, pred_over <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>nlme <span class="op">=</span> <span class="va">pred_nlme</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mixed.mmkin-4.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
   </div>
@@ -226,7 +277,7 @@ corresponding model prediction lines for the different datasets.</p></dd>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/plot.mkinfit-1.png b/docs/dev/reference/plot.mkinfit-1.png
index e5da9f1c..ea1032fb 100644
--- a/docs/dev/reference/plot.mkinfit-1.png
+++ b/docs/dev/reference/plot.mkinfit-1.png
diff --git a/docs/dev/reference/plot.mkinfit-2.png b/docs/dev/reference/plot.mkinfit-2.png
index a11d1680..cef94cb8 100644
--- a/docs/dev/reference/plot.mkinfit-2.png
+++ b/docs/dev/reference/plot.mkinfit-2.png
diff --git a/docs/dev/reference/plot.mkinfit-3.png b/docs/dev/reference/plot.mkinfit-3.png
index c976d4b1..8a9dbd13 100644
--- a/docs/dev/reference/plot.mkinfit-3.png
+++ b/docs/dev/reference/plot.mkinfit-3.png
diff --git a/docs/dev/reference/plot.mkinfit-4.png b/docs/dev/reference/plot.mkinfit-4.png
index c8bc00fe..a7164caa 100644
--- a/docs/dev/reference/plot.mkinfit-4.png
+++ b/docs/dev/reference/plot.mkinfit-4.png
diff --git a/docs/dev/reference/plot.mkinfit-5.png b/docs/dev/reference/plot.mkinfit-5.png
index 6631aa68..f90b3f54 100644
--- a/docs/dev/reference/plot.mkinfit-5.png
+++ b/docs/dev/reference/plot.mkinfit-5.png
diff --git a/docs/dev/reference/plot.mkinfit-6.png b/docs/dev/reference/plot.mkinfit-6.png
index 946b20c5..3d0fb25e 100644
--- a/docs/dev/reference/plot.mkinfit-6.png
+++ b/docs/dev/reference/plot.mkinfit-6.png
diff --git a/docs/dev/reference/plot.mkinfit-7.png b/docs/dev/reference/plot.mkinfit-7.png
index 10807ea8..3e5d828e 100644
--- a/docs/dev/reference/plot.mkinfit-7.png
+++ b/docs/dev/reference/plot.mkinfit-7.png
diff --git a/docs/dev/reference/plot.mkinfit.html b/docs/dev/reference/plot.mkinfit.html
index c5249ecd..764f0699 100644
--- a/docs/dev/reference/plot.mkinfit.html
+++ b/docs/dev/reference/plot.mkinfit.html
@@ -1,69 +1,14 @@
-<!-- Generated by pkgdown: do not edit by hand -->
 <!DOCTYPE html>
-<html lang="en">
-  <head>
-  <meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-
-<title>Plot the observed data and the fitted model of an mkinfit object — plot.mkinfit • mkin</title>
-
-
-<!-- jquery -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
-<!-- Bootstrap -->
-
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
-
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
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-<link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script>
-
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-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous" />
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
-
-<!-- clipboard.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
-
-<!-- headroom.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
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-<link href="../pkgdown.css" rel="stylesheet">
-<script src="../pkgdown.js"></script>
-
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-
-
-<meta property="og:title" content="Plot the observed data and the fitted model of an mkinfit object — plot.mkinfit" />
-<meta property="og:description" content="Solves the differential equations with the optimised and fixed parameters
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Plot the observed data and the fitted model of an mkinfit object — plot.mkinfit • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Plot the observed data and the fitted model of an mkinfit object — plot.mkinfit"><meta property="og:description" content="Solves the differential equations with the optimised and fixed parameters
 from a previous successful call to mkinfit and plots the
-observed data together with the solution of the fitted model." />
-
-
-<meta name="robots" content="noindex">
-
-<!-- mathjax -->
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-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
-
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+observed data together with the solution of the fitted model."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
-
-
+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
-  </head>
-
-  <body data-spy="scroll" data-target="#toc">
     <div class="container template-reference-topic">
-      <header>
-      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
     <div class="navbar-header">
       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -74,23 +19,21 @@ observed data together with the solution of the fitted model." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
     <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
   </a>
-  <ul class="dropdown-menu" role="menu">
-    <li>
+  <ul class="dropdown-menu" role="menu"><li>
       <a href="../articles/mkin.html">Introduction to mkin</a>
     </li>
     <li>
@@ -100,6 +43,9 @@ observed data together with the solution of the fitted model." />
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -114,279 +60,285 @@ observed data together with the solution of the fitted model." />
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
-  </ul>
-</li>
+  </ul></li>
 <li>
   <a href="../news/index.html">News</a>
 </li>
-      </ul>
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-        <li>
-  <a href="https://github.com/jranke/mkin/">
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
-      </ul>
-      
-    </div><!--/.nav-collapse -->
+      </ul></div><!--/.nav-collapse -->
   </div><!--/.container -->
 </div><!--/.navbar -->
 
       
 
-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Plot the observed data and the fitted model of an mkinfit object</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/plot.mkinfit.R'><code>R/plot.mkinfit.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/plot.mkinfit.R" class="external-link"><code>R/plot.mkinfit.R</code></a></small>
     <div class="hidden name"><code>plot.mkinfit.Rd</code></div>
     </div>
 
     <div class="ref-description">
     <p>Solves the differential equations with the optimised and fixed parameters
-from a previous successful call to <code><a href='mkinfit.html'>mkinfit</a></code> and plots the
+from a previous successful call to <code><a href="mkinfit.html">mkinfit</a></code> and plots the
 observed data together with the solution of the fitted model.</p>
     </div>
 
-    <pre class="usage"><span class='co'># S3 method for mkinfit</span>
-<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span>
-  <span class='va'>x</span>,
-  fit <span class='op'>=</span> <span class='va'>x</span>,
-  obs_vars <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>$</span><span class='va'>mkinmod</span><span class='op'>$</span><span class='va'>map</span><span class='op'>)</span>,
-  xlab <span class='op'>=</span> <span class='st'>"Time"</span>,
-  ylab <span class='op'>=</span> <span class='st'>"Residue"</span>,
-  xlim <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/range.html'>range</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>$</span><span class='va'>data</span><span class='op'>$</span><span class='va'>time</span><span class='op'>)</span>,
-  ylim <span class='op'>=</span> <span class='st'>"default"</span>,
-  col_obs <span class='op'>=</span> <span class='fl'>1</span><span class='op'>:</span><span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>obs_vars</span><span class='op'>)</span>,
-  pch_obs <span class='op'>=</span> <span class='va'>col_obs</span>,
-  lty_obs <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/rep.html'>rep</a></span><span class='op'>(</span><span class='fl'>1</span>, <span class='fu'><a href='https://rdrr.io/r/base/length.html'>length</a></span><span class='op'>(</span><span class='va'>obs_vars</span><span class='op'>)</span><span class='op'>)</span>,
-  add <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  legend <span class='op'>=</span> <span class='op'>!</span><span class='va'>add</span>,
-  show_residuals <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  show_errplot <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  maxabs <span class='op'>=</span> <span class='st'>"auto"</span>,
-  sep_obs <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  rel.height.middle <span class='op'>=</span> <span class='fl'>0.9</span>,
-  row_layout <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  lpos <span class='op'>=</span> <span class='st'>"topright"</span>,
-  inset <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0.05</span>, <span class='fl'>0.05</span><span class='op'>)</span>,
-  show_errmin <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  errmin_digits <span class='op'>=</span> <span class='fl'>3</span>,
-  frame <span class='op'>=</span> <span class='cn'>TRUE</span>,
-  <span class='va'>...</span>
-<span class='op'>)</span>
-
-<span class='fu'>plot_sep</span><span class='op'>(</span>
-  <span class='va'>fit</span>,
-  show_errmin <span class='op'>=</span> <span class='cn'>TRUE</span>,
-  show_residuals <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/identical.html'>identical</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>$</span><span class='va'>err_mod</span>, <span class='st'>"const"</span><span class='op'>)</span>, <span class='cn'>TRUE</span>, <span class='st'>"standardized"</span><span class='op'>)</span>,
-  <span class='va'>...</span>
-<span class='op'>)</span>
-
-<span class='fu'>plot_res</span><span class='op'>(</span>
-  <span class='va'>fit</span>,
-  sep_obs <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  show_errmin <span class='op'>=</span> <span class='va'>sep_obs</span>,
-  standardized <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/ifelse.html'>ifelse</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/identical.html'>identical</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>$</span><span class='va'>err_mod</span>, <span class='st'>"const"</span><span class='op'>)</span>, <span class='cn'>FALSE</span>, <span class='cn'>TRUE</span><span class='op'>)</span>,
-  <span class='va'>...</span>
-<span class='op'>)</span>
-
-<span class='fu'>plot_err</span><span class='op'>(</span><span class='va'>fit</span>, sep_obs <span class='op'>=</span> <span class='cn'>FALSE</span>, show_errmin <span class='op'>=</span> <span class='va'>sep_obs</span>, <span class='va'>...</span><span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>x</th>
-      <td><p>Alias for fit introduced for compatibility with the generic S3
-method.</p></td>
-    </tr>
-    <tr>
-      <th>fit</th>
-      <td><p>An object of class <code><a href='mkinfit.html'>mkinfit</a></code>.</p></td>
-    </tr>
-    <tr>
-      <th>obs_vars</th>
-      <td><p>A character vector of names of the observed variables for
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mkinfit</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span></span>
+<span>  <span class="va">x</span>,</span>
+<span>  fit <span class="op">=</span> <span class="va">x</span>,</span>
+<span>  obs_vars <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">fit</span><span class="op">$</span><span class="va">mkinmod</span><span class="op">$</span><span class="va">map</span><span class="op">)</span>,</span>
+<span>  xlab <span class="op">=</span> <span class="st">"Time"</span>,</span>
+<span>  ylab <span class="op">=</span> <span class="st">"Residue"</span>,</span>
+<span>  xlim <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/range.html" class="external-link">range</a></span><span class="op">(</span><span class="va">fit</span><span class="op">$</span><span class="va">data</span><span class="op">$</span><span class="va">time</span><span class="op">)</span>,</span>
+<span>  ylim <span class="op">=</span> <span class="st">"default"</span>,</span>
+<span>  col_obs <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">obs_vars</span><span class="op">)</span>,</span>
+<span>  pch_obs <span class="op">=</span> <span class="va">col_obs</span>,</span>
+<span>  lty_obs <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fu"><a href="https://rdrr.io/r/base/length.html" class="external-link">length</a></span><span class="op">(</span><span class="va">obs_vars</span><span class="op">)</span><span class="op">)</span>,</span>
+<span>  add <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  legend <span class="op">=</span> <span class="op">!</span><span class="va">add</span>,</span>
+<span>  show_residuals <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  show_errplot <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  maxabs <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  sep_obs <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  rel.height.middle <span class="op">=</span> <span class="fl">0.9</span>,</span>
+<span>  row_layout <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  lpos <span class="op">=</span> <span class="st">"topright"</span>,</span>
+<span>  inset <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0.05</span>, <span class="fl">0.05</span><span class="op">)</span>,</span>
+<span>  show_errmin <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  errmin_digits <span class="op">=</span> <span class="fl">3</span>,</span>
+<span>  frame <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">plot_sep</span><span class="op">(</span></span>
+<span>  <span class="va">fit</span>,</span>
+<span>  show_errmin <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  show_residuals <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="va">fit</span><span class="op">$</span><span class="va">err_mod</span>, <span class="st">"const"</span><span class="op">)</span>, <span class="cn">TRUE</span>, <span class="st">"standardized"</span><span class="op">)</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">plot_res</span><span class="op">(</span></span>
+<span>  <span class="va">fit</span>,</span>
+<span>  sep_obs <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  show_errmin <span class="op">=</span> <span class="va">sep_obs</span>,</span>
+<span>  standardized <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/identical.html" class="external-link">identical</a></span><span class="op">(</span><span class="va">fit</span><span class="op">$</span><span class="va">err_mod</span>, <span class="st">"const"</span><span class="op">)</span>, <span class="cn">FALSE</span>, <span class="cn">TRUE</span><span class="op">)</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">plot_err</span><span class="op">(</span><span class="va">fit</span>, sep_obs <span class="op">=</span> <span class="cn">FALSE</span>, show_errmin <span class="op">=</span> <span class="va">sep_obs</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>x</dt>
+<dd><p>Alias for fit introduced for compatibility with the generic S3
+method.</p></dd>
+
+
+<dt>fit</dt>
+<dd><p>An object of class <code><a href="mkinfit.html">mkinfit</a></code>.</p></dd>
+
+
+<dt>obs_vars</dt>
+<dd><p>A character vector of names of the observed variables for
 which the data and the model should be plotted. Defauls to all observed
-variables in the model.</p></td>
-    </tr>
-    <tr>
-      <th>xlab</th>
-      <td><p>Label for the x axis.</p></td>
-    </tr>
-    <tr>
-      <th>ylab</th>
-      <td><p>Label for the y axis.</p></td>
-    </tr>
-    <tr>
-      <th>xlim</th>
-      <td><p>Plot range in x direction.</p></td>
-    </tr>
-    <tr>
-      <th>ylim</th>
-      <td><p>Plot range in y direction.</p></td>
-    </tr>
-    <tr>
-      <th>col_obs</th>
-      <td><p>Colors used for plotting the observed data and the
-corresponding model prediction lines.</p></td>
-    </tr>
-    <tr>
-      <th>pch_obs</th>
-      <td><p>Symbols to be used for plotting the data.</p></td>
-    </tr>
-    <tr>
-      <th>lty_obs</th>
-      <td><p>Line types to be used for the model predictions.</p></td>
-    </tr>
-    <tr>
-      <th>add</th>
-      <td><p>Should the plot be added to an existing plot?</p></td>
-    </tr>
-    <tr>
-      <th>legend</th>
-      <td><p>Should a legend be added to the plot?</p></td>
-    </tr>
-    <tr>
-      <th>show_residuals</th>
-      <td><p>Should residuals be shown? If only one plot of the
+variables in the model.</p></dd>
+
+
+<dt>xlab</dt>
+<dd><p>Label for the x axis.</p></dd>
+
+
+<dt>ylab</dt>
+<dd><p>Label for the y axis.</p></dd>
+
+
+<dt>xlim</dt>
+<dd><p>Plot range in x direction.</p></dd>
+
+
+<dt>ylim</dt>
+<dd><p>Plot range in y direction. If given as a list, plot ranges
+for the different plot rows can be given for row layout.</p></dd>
+
+
+<dt>col_obs</dt>
+<dd><p>Colors used for plotting the observed data and the
+corresponding model prediction lines.</p></dd>
+
+
+<dt>pch_obs</dt>
+<dd><p>Symbols to be used for plotting the data.</p></dd>
+
+
+<dt>lty_obs</dt>
+<dd><p>Line types to be used for the model predictions.</p></dd>
+
+
+<dt>add</dt>
+<dd><p>Should the plot be added to an existing plot?</p></dd>
+
+
+<dt>legend</dt>
+<dd><p>Should a legend be added to the plot?</p></dd>
+
+
+<dt>show_residuals</dt>
+<dd><p>Should residuals be shown? If only one plot of the
 fits is shown, the residual plot is in the lower third of the plot.
 Otherwise, i.e. if "sep_obs" is given, the residual plots will be located
 to the right of the plots of the fitted curves. If this is set to
 'standardized', a plot of the residuals divided by the standard deviation
-given by the fitted error model will be shown.</p></td>
-    </tr>
-    <tr>
-      <th>show_errplot</th>
-      <td><p>Should squared residuals and the error model be shown?
+given by the fitted error model will be shown.</p></dd>
+
+
+<dt>show_errplot</dt>
+<dd><p>Should squared residuals and the error model be shown?
 If only one plot of the fits is shown, this plot is in the lower third of
 the plot.  Otherwise, i.e. if "sep_obs" is given, the residual plots will
-be located to the right of the plots of the fitted curves.</p></td>
-    </tr>
-    <tr>
-      <th>maxabs</th>
-      <td><p>Maximum absolute value of the residuals. This is used for the
-scaling of the y axis and defaults to "auto".</p></td>
-    </tr>
-    <tr>
-      <th>sep_obs</th>
-      <td><p>Should the observed variables be shown in separate subplots?
+be located to the right of the plots of the fitted curves.</p></dd>
+
+
+<dt>maxabs</dt>
+<dd><p>Maximum absolute value of the residuals. This is used for the
+scaling of the y axis and defaults to "auto".</p></dd>
+
+
+<dt>sep_obs</dt>
+<dd><p>Should the observed variables be shown in separate subplots?
 If yes, residual plots requested by "show_residuals" will be shown next
-to, not below the plot of the fits.</p></td>
-    </tr>
-    <tr>
-      <th>rel.height.middle</th>
-      <td><p>The relative height of the middle plot, if more
-than two rows of plots are shown.</p></td>
-    </tr>
-    <tr>
-      <th>row_layout</th>
-      <td><p>Should we use a row layout where the residual plot or the
-error model plot is shown to the right?</p></td>
-    </tr>
-    <tr>
-      <th>lpos</th>
-      <td><p>Position(s) of the legend(s). Passed to <code><a href='https://rdrr.io/r/graphics/legend.html'>legend</a></code> as
+to, not below the plot of the fits.</p></dd>
+
+
+<dt>rel.height.middle</dt>
+<dd><p>The relative height of the middle plot, if more
+than two rows of plots are shown.</p></dd>
+
+
+<dt>row_layout</dt>
+<dd><p>Should we use a row layout where the residual plot or the
+error model plot is shown to the right?</p></dd>
+
+
+<dt>lpos</dt>
+<dd><p>Position(s) of the legend(s). Passed to <code><a href="https://rdrr.io/r/graphics/legend.html" class="external-link">legend</a></code> as
 the first argument.  If not length one, this should be of the same length
-as the obs_var argument.</p></td>
-    </tr>
-    <tr>
-      <th>inset</th>
-      <td><p>Passed to <code><a href='https://rdrr.io/r/graphics/legend.html'>legend</a></code> if applicable.</p></td>
-    </tr>
-    <tr>
-      <th>show_errmin</th>
-      <td><p>Should the FOCUS chi2 error value be shown in the upper
-margin of the plot?</p></td>
-    </tr>
-    <tr>
-      <th>errmin_digits</th>
-      <td><p>The number of significant digits for rounding the FOCUS
-chi2 error percentage.</p></td>
-    </tr>
-    <tr>
-      <th>frame</th>
-      <td><p>Should a frame be drawn around the plots?</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>Further arguments passed to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></code>.</p></td>
-    </tr>
-    <tr>
-      <th>standardized</th>
-      <td><p>When calling 'plot_res', should the residuals be
-standardized in the residual plot?</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>The function is called for its side effect.</p>
-    <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2>
-
-    <p>If the current plot device is a <code><a href='https://rdrr.io/pkg/tikzDevice/man/tikz.html'>tikz</a></code> device, then
+as the obs_var argument.</p></dd>
+
+
+<dt>inset</dt>
+<dd><p>Passed to <code><a href="https://rdrr.io/r/graphics/legend.html" class="external-link">legend</a></code> if applicable.</p></dd>
+
+
+<dt>show_errmin</dt>
+<dd><p>Should the FOCUS chi2 error value be shown in the upper
+margin of the plot?</p></dd>
+
+
+<dt>errmin_digits</dt>
+<dd><p>The number of significant digits for rounding the FOCUS
+chi2 error percentage.</p></dd>
+
+
+<dt>frame</dt>
+<dd><p>Should a frame be drawn around the plots?</p></dd>
+
+
+<dt>...</dt>
+<dd><p>Further arguments passed to <code><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></code>.</p></dd>
+
+
+<dt>standardized</dt>
+<dd><p>When calling 'plot_res', should the residuals be
+standardized in the residual plot?</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>The function is called for its side effect.</p>
+    </div>
+    <div id="details">
+    <h2>Details</h2>
+    <p>If the current plot device is a <code><a href="https://rdrr.io/pkg/tikzDevice/man/tikz.html" class="external-link">tikz</a></code> device, then
 latex is being used for the formatting of the chi2 error level, if
 <code>show_errmin = TRUE</code>.</p>
-    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
-
+    </div>
+    <div id="author">
+    <h2>Author</h2>
     <p>Johannes Ranke</p>
+    </div>
 
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-<span class='co'># One parent compound, one metabolite, both single first order, path from</span>
-<span class='co'># parent to sink included</span>
-<span class='co'># \dontrun{</span>
-<span class='va'>SFO_SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='st'>"m1"</span>, full <span class='op'>=</span> <span class='st'>"Parent"</span><span class='op'>)</span>,
-                   m1 <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, full <span class='op'>=</span> <span class='st'>"Metabolite M1"</span> <span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='message'>Temporary DLL for differentials generated and loaded</span></div><div class='input'><span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='va'>fit</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='va'>SFO_SFO</span>, <span class='va'>FOCUS_2006_D</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Observations with value of zero were removed from the data</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-1.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'>plot_res</span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-2.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'>plot_res</span><span class='op'>(</span><span class='va'>fit</span>, standardized <span class='op'>=</span> <span class='cn'>FALSE</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-3.png' alt='' width='700' height='433' /></div><div class='input'><span class='fu'>plot_err</span><span class='op'>(</span><span class='va'>fit</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-4.png' alt='' width='700' height='433' /></div><div class='input'>
-<span class='co'># Show the observed variables separately, with residuals</span>
-<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>fit</span>, sep_obs <span class='op'>=</span> <span class='cn'>TRUE</span>, show_residuals <span class='op'>=</span> <span class='cn'>TRUE</span>, lpos <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"topright"</span>, <span class='st'>"bottomright"</span><span class='op'>)</span>,
-     show_errmin <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-5.png' alt='' width='700' height='433' /></div><div class='input'>
-<span class='co'># The same can be obtained with less typing, using the convenience function plot_sep</span>
-<span class='fu'>plot_sep</span><span class='op'>(</span><span class='va'>fit</span>, lpos <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"topright"</span>, <span class='st'>"bottomright"</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-6.png' alt='' width='700' height='433' /></div><div class='input'>
-<span class='co'># Show the observed variables separately, with the error model</span>
-<span class='fu'><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></span><span class='op'>(</span><span class='va'>fit</span>, sep_obs <span class='op'>=</span> <span class='cn'>TRUE</span>, show_errplot <span class='op'>=</span> <span class='cn'>TRUE</span>, lpos <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>"topright"</span>, <span class='st'>"bottomright"</span><span class='op'>)</span>,
-     show_errmin <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='img'><img src='plot.mkinfit-7.png' alt='' width='700' height='433' /></div><div class='input'><span class='co'># }</span>
-
-</div></pre>
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># One parent compound, one metabolite, both single first order, path from</span></span></span>
+<span class="r-in"><span><span class="co"># parent to sink included</span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">SFO_SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"m1"</span>, full <span class="op">=</span> <span class="st">"Parent"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>                   m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, full <span class="op">=</span> <span class="st">"Metabolite M1"</span> <span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
+<span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_2006_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Observations with value of zero were removed from the data</span>
+<span class="r-in"><span><span class="va">fit</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</span>, <span class="va">FOCUS_2006_D</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Observations with value of zero were removed from the data</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu">plot_res</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-2.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu">plot_res</span><span class="op">(</span><span class="va">fit</span>, standardized <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-3.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu">plot_err</span><span class="op">(</span><span class="va">fit</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-4.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Show the observed variables separately, with residuals</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">fit</span>, sep_obs <span class="op">=</span> <span class="cn">TRUE</span>, show_residuals <span class="op">=</span> <span class="cn">TRUE</span>, lpos <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"topright"</span>, <span class="st">"bottomright"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>     show_errmin <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-5.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># The same can be obtained with less typing, using the convenience function plot_sep</span></span></span>
+<span class="r-in"><span><span class="fu">plot_sep</span><span class="op">(</span><span class="va">fit</span>, lpos <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"topright"</span>, <span class="st">"bottomright"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-6.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Show the observed variables separately, with the error model</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">fit</span>, sep_obs <span class="op">=</span> <span class="cn">TRUE</span>, show_errplot <span class="op">=</span> <span class="cn">TRUE</span>, lpos <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"topright"</span>, <span class="st">"bottomright"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>     show_errmin <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="plot.mkinfit-7.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
-      </footer>
-   </div>
+      </footer></div>
 
   
 
 
-  </body>
-</html>
+  
 
+  </body></html>
 
diff --git a/docs/dev/reference/reexports.html b/docs/dev/reference/reexports.html
index b8ead4b5..0999e346 100644
--- a/docs/dev/reference/reexports.html
+++ b/docs/dev/reference/reexports.html
@@ -10,10 +10,6 @@ lrtest
 intervals, nlme
 
 
-  nlmixr
-nlmixr
-
-
 "><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
@@ -32,7 +28,7 @@ nlmixr
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -41,7 +37,7 @@ nlmixr
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -56,6 +52,9 @@ nlmixr
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -90,7 +89,7 @@ nlmixr
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Objects exported from other packages</h1>
-    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/intervals.R" class="external-link"><code>R/intervals.R</code></a>, <a href="https://github.com/jranke/mkin/blob/HEAD/R/lrtest.mkinfit.R" class="external-link"><code>R/lrtest.mkinfit.R</code></a>, <a href="https://github.com/jranke/mkin/blob/HEAD/R/nlme.mmkin.R" class="external-link"><code>R/nlme.mmkin.R</code></a>, and 1 more</small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/intervals.R" class="external-link"><code>R/intervals.R</code></a>, <a href="https://github.com/jranke/mkin/blob/HEAD/R/lrtest.mkinfit.R" class="external-link"><code>R/lrtest.mkinfit.R</code></a>, <a href="https://github.com/jranke/mkin/blob/HEAD/R/nlme.mmkin.R" class="external-link"><code>R/nlme.mmkin.R</code></a></small>
     <div class="hidden name"><code>reexports.Rd</code></div>
     </div>
 
@@ -105,10 +104,6 @@ below to see their documentation.</p>
 <dd><p><code><a href="https://rdrr.io/pkg/nlme/man/intervals.html" class="external-link">intervals</a></code>, <code><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></code></p></dd>
 
 
-  <dt>nlmixr</dt>
-<dd><p><code><a href="https://rdrr.io/pkg/nlmixr/man/nlmixr.html" class="external-link">nlmixr</a></code></p></dd>
-
-
 </dl></div>
 
 
@@ -125,7 +120,7 @@ below to see their documentation.</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/saem-1.png b/docs/dev/reference/saem-1.png
index 0e87d741..08939d4f 100644
--- a/docs/dev/reference/saem-1.png
+++ b/docs/dev/reference/saem-1.png
diff --git a/docs/dev/reference/saem-2.png b/docs/dev/reference/saem-2.png
index 456a4c58..b737db03 100644
--- a/docs/dev/reference/saem-2.png
+++ b/docs/dev/reference/saem-2.png
diff --git a/docs/dev/reference/saem-3.png b/docs/dev/reference/saem-3.png
index 27d43e53..08e0f544 100644
--- a/docs/dev/reference/saem-3.png
+++ b/docs/dev/reference/saem-3.png
diff --git a/docs/dev/reference/saem-4.png b/docs/dev/reference/saem-4.png
index 5c089bbc..bb775c25 100644
--- a/docs/dev/reference/saem-4.png
+++ b/docs/dev/reference/saem-4.png
diff --git a/docs/dev/reference/saem.html b/docs/dev/reference/saem.html
index c132647b..b55f29a8 100644
--- a/docs/dev/reference/saem.html
+++ b/docs/dev/reference/saem.html
@@ -19,7 +19,7 @@ Expectation Maximisation algorithm (SAEM)."><meta name="robots" content="noindex
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -28,7 +28,7 @@ Expectation Maximisation algorithm (SAEM)."><meta name="robots" content="noindex
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -43,6 +43,9 @@ Expectation Maximisation algorithm (SAEM)."><meta name="robots" content="noindex
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -88,39 +91,40 @@ Expectation Maximisation algorithm (SAEM).</p>
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">saem</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span>
-
-<span class="co"># S3 method for mmkin</span>
-<span class="fu">saem</span><span class="op">(</span>
-  <span class="va">object</span>,
-  transformations <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mkin"</span>, <span class="st">"saemix"</span><span class="op">)</span>,
-  degparms_start <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,
-  test_log_parms <span class="op">=</span> <span class="cn">TRUE</span>,
-  conf.level <span class="op">=</span> <span class="fl">0.6</span>,
-  solution_type <span class="op">=</span> <span class="st">"auto"</span>,
-  nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">300</span>, <span class="fl">100</span><span class="op">)</span>,
-  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>displayProgress <span class="op">=</span> <span class="cn">FALSE</span>, print <span class="op">=</span> <span class="cn">FALSE</span>, nbiter.saemix <span class="op">=</span> <span class="va">nbiter.saemix</span>,
-    save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,
-  fail_with_errors <span class="op">=</span> <span class="cn">TRUE</span>,
-  verbose <span class="op">=</span> <span class="cn">FALSE</span>,
-  quiet <span class="op">=</span> <span class="cn">FALSE</span>,
-  <span class="va">...</span>
-<span class="op">)</span>
-
-<span class="co"># S3 method for saem.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span>
-
-<span class="fu">saemix_model</span><span class="op">(</span>
-  <span class="va">object</span>,
-  solution_type <span class="op">=</span> <span class="st">"auto"</span>,
-  transformations <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mkin"</span>, <span class="st">"saemix"</span><span class="op">)</span>,
-  degparms_start <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,
-  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,
-  verbose <span class="op">=</span> <span class="cn">FALSE</span>,
-  <span class="va">...</span>
-<span class="op">)</span>
-
-<span class="fu">saemix_data</span><span class="op">(</span><span class="va">object</span>, verbose <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">saem</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for mmkin</span></span>
+<span><span class="fu">saem</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  transformations <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mkin"</span>, <span class="st">"saemix"</span><span class="op">)</span>,</span>
+<span>  degparms_start <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  test_log_parms <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span>
+<span>  solution_type <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  nbiter.saemix <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">300</span>, <span class="fl">100</span><span class="op">)</span>,</span>
+<span>  control <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>displayProgress <span class="op">=</span> <span class="cn">FALSE</span>, print <span class="op">=</span> <span class="cn">FALSE</span>, nbiter.saemix <span class="op">=</span> <span class="va">nbiter.saemix</span>,</span>
+<span>    save <span class="op">=</span> <span class="cn">FALSE</span>, save.graphs <span class="op">=</span> <span class="cn">FALSE</span><span class="op">)</span>,</span>
+<span>  fail_with_errors <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  verbose <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  quiet <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for saem.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">saemix_model</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  solution_type <span class="op">=</span> <span class="st">"auto"</span>,</span>
+<span>  transformations <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mkin"</span>, <span class="st">"saemix"</span><span class="op">)</span>,</span>
+<span>  degparms_start <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/numeric.html" class="external-link">numeric</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span>  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span>
+<span>  verbose <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="fu">saemix_data</span><span class="op">(</span><span class="va">object</span>, verbose <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
@@ -128,54 +132,87 @@ Expectation Maximisation algorithm (SAEM).</p>
     <dl><dt>object</dt>
 <dd><p>An <a href="mmkin.html">mmkin</a> row object containing several fits of the same
 <a href="mkinmod.html">mkinmod</a> model to different datasets</p></dd>
+
+
 <dt>...</dt>
 <dd><p>Further parameters passed to <a href="https://rdrr.io/pkg/saemix/man/saemixModel.html" class="external-link">saemix::saemixModel</a>.</p></dd>
+
+
 <dt>transformations</dt>
 <dd><p>Per default, all parameter transformations are done
 in mkin. If this argument is set to 'saemix', parameter transformations
-are done in 'saemix' for the supported cases. Currently this is only
-supported in cases where the initial concentration of the parent is not fixed,
-SFO or DFOP is used for the parent and there is either no metabolite or one.</p></dd>
+are done in 'saemix' for the supported cases, i.e. (as of version 1.1.2)
+SFO, FOMC, DFOP and HS without fixing <code>parent_0</code>, and SFO or DFOP with
+one SFO metabolite.</p></dd>
+
+
 <dt>degparms_start</dt>
 <dd><p>Parameter values given as a named numeric vector will
 be used to override the starting values obtained from the 'mmkin' object.</p></dd>
+
+
 <dt>test_log_parms</dt>
 <dd><p>If TRUE, an attempt is made to use more robust starting
 values for population parameters fitted as log parameters in mkin (like
 rate constants) by only considering rate constants that pass the t-test
 when calculating mean degradation parameters using <a href="mean_degparms.html">mean_degparms</a>.</p></dd>
+
+
 <dt>conf.level</dt>
 <dd><p>Possibility to adjust the required confidence level
 for parameter that are tested if requested by 'test_log_parms'.</p></dd>
+
+
 <dt>solution_type</dt>
 <dd><p>Possibility to specify the solution type in case the
 automatic choice is not desired</p></dd>
+
+
 <dt>nbiter.saemix</dt>
 <dd><p>Convenience option to increase the number of
 iterations</p></dd>
+
+
 <dt>control</dt>
 <dd><p>Passed to <a href="https://rdrr.io/pkg/saemix/man/saemix.html" class="external-link">saemix::saemix</a>.</p></dd>
+
+
 <dt>fail_with_errors</dt>
 <dd><p>Should a failure to compute standard errors
 from the inverse of the Fisher Information Matrix be a failure?</p></dd>
+
+
 <dt>verbose</dt>
 <dd><p>Should we print information about created objects of
 type <a href="https://rdrr.io/pkg/saemix/man/SaemixModel-class.html" class="external-link">saemix::SaemixModel</a> and <a href="https://rdrr.io/pkg/saemix/man/SaemixData-class.html" class="external-link">saemix::SaemixData</a>?</p></dd>
+
+
 <dt>quiet</dt>
 <dd><p>Should we suppress the messages saemix prints at the beginning
 and the end of the optimisation process?</p></dd>
+
+
 <dt>x</dt>
 <dd><p>An saem.mmkin object to print</p></dd>
+
+
 <dt>digits</dt>
 <dd><p>Number of digits to use for printing</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>An S3 object of class 'saem.mmkin', containing the fitted
+    
+
+<p>An S3 object of class 'saem.mmkin', containing the fitted
 <a href="https://rdrr.io/pkg/saemix/man/SaemixObject-class.html" class="external-link">saemix::SaemixObject</a> as a list component named 'so'. The
-object also inherits from 'mixed.mmkin'.
-An <a href="https://rdrr.io/pkg/saemix/man/SaemixModel-class.html" class="external-link">saemix::SaemixModel</a> object.
-An <a href="https://rdrr.io/pkg/saemix/man/SaemixData-class.html" class="external-link">saemix::SaemixData</a> object.</p>
+object also inherits from 'mixed.mmkin'.</p>
+
+
+<p>An <a href="https://rdrr.io/pkg/saemix/man/SaemixModel-class.html" class="external-link">saemix::SaemixModel</a> object.</p>
+
+
+<p>An <a href="https://rdrr.io/pkg/saemix/man/SaemixData-class.html" class="external-link">saemix::SaemixData</a> object.</p>
     </div>
     <div id="details">
     <h2>Details</h2>
@@ -192,109 +229,413 @@ using <a href="mmkin.html">mmkin</a>.</p>
 
     <div id="ref-examples">
     <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="co"># \dontrun{</span></span>
-<span class="r-in"><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span>
-<span class="r-in"> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Dataset"</span>, <span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_mmkin_parent_p0_fixed</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">ds</span>,</span>
-<span class="r-in">  state.ini <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span><span class="op">)</span>, fixed_initials <span class="op">=</span> <span class="st">"parent"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_saem_p0_fixed</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent_p0_fixed</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">f_mmkin_parent</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_saem_sfo</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"><span class="va">f_saem_fomc</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"><span class="va">f_saem_dfop</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># The returned saem.mmkin object contains an SaemixObject, therefore we can use</span></span>
-<span class="r-in"><span class="co"># functions from saemix</span></span>
-<span class="r-in"><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">saemix</span><span class="op">)</span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="va">ds</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">experimental_data_for_UBA_2019</span><span class="op">[</span><span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">]</span>,</span></span>
+<span class="r-in"><span> <span class="kw">function</span><span class="op">(</span><span class="va">x</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">x</span><span class="op">$</span><span class="va">data</span><span class="op">[</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"name"</span>, <span class="st">"time"</span>, <span class="st">"value"</span><span class="op">)</span><span class="op">]</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"Dataset"</span>, <span class="fl">6</span><span class="op">:</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_mmkin_parent_p0_fixed</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="va">ds</span>,</span></span>
+<span class="r-in"><span>  state.ini <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span><span class="op">)</span>, fixed_initials <span class="op">=</span> <span class="st">"parent"</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_p0_fixed</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent_p0_fixed</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">f_mmkin_parent</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span>, <span class="st">"DFOP"</span><span class="op">)</span>, <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_sfo</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_fomc</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_dfop</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent</span><span class="op">[</span><span class="st">"DFOP"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="illparms.html">illparms</a></span><span class="op">(</span><span class="va">f_saem_dfop</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "sd(g_qlogis)"</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_saem_dfop</span>, covariance.model <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/diag.html" class="external-link">diag</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">0</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Kinetic nonlinear mixed-effects model fit by SAEM</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Structural model:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90 observations of 1 variable(s) grouped in 5 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood computed by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     AIC   BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   490.6 487.5 -237.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>             estimate   lower   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0      93.902 91.3695 96.4339</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1        -2.936 -3.9950 -1.8762</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2        -3.091 -4.9290 -1.2523</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis      -0.366 -0.6484 -0.0836</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1            2.385  2.0033  2.7664</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.parent_0    2.476  0.3890  4.5623</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k1      1.195  0.4381  1.9517</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k2      2.092  0.7906  3.3932</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/AIC.html" class="external-link">AIC</a></span><span class="op">(</span><span class="va">f_saem_dfop</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 493.9811</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># The returned saem.mmkin object contains an SaemixObject, therefore we can use</span></span></span>
+<span class="r-in"><span><span class="co"># functions from saemix</span></span></span>
+<span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va">saemix</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Loading required package: npde</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Attaching package: ‘npde’</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> The following object is masked from ‘package:nlmixr’:</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>     warfarin</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Package saemix, version 3.0</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Package saemix, version 3.1</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span>   please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Attaching package: ‘saemix’</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> The following objects are masked from ‘package:npde’:</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span>     kurtosis, skewness</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> The following object is masked from ‘package:RxODE’:</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>     phi</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_sfo</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_dfop</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in compare.saemix(f_saem_sfo$so, f_saem_fomc$so, f_saem_dfop$so):</span> object 'f_saem_sfo' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"individual.fit"</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"npde"</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"vpc"</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">f_mmkin_parent_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_mmkin_parent</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_saem_fomc_tc</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent_tc</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_fomc_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in compare.saemix(f_saem_fomc$so, f_saem_fomc_tc$so):</span> object 'f_saem_fomc' not found</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_sfo</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_dfop</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Likelihoods calculated by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        AIC      BIC</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 624.2598 622.3070</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2 467.8664 465.1324</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3 493.9811 490.4660</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="saem-1.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"individual.fit"</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="saem-2.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"npde"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Simulating data using nsim = 1000 simulated datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Computing WRES and npde .</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Please use npdeSaemix to obtain VPC and npde</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"vpc"</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="saem-3.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">f_mmkin_parent_tc</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_mmkin_parent</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_fomc_tc</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent_tc</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</span><span class="va">so</span>, <span class="va">f_saem_fomc_tc</span><span class="op">$</span><span class="va">so</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Likelihoods calculated by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        AIC      BIC</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 467.8664 465.1324</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2 469.9096 466.7851</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
-<span class="r-in"><span class="va">fomc_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="va">fomc_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"FOMC"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
-<span class="r-in"><span class="va">dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span>
-<span class="r-in">  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="va">dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"A1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  A1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Temporary DLL for differentials generated and loaded</span>
-<span class="r-in"><span class="co"># The following fit uses analytical solutions for SFO-SFO and DFOP-SFO,</span></span>
-<span class="r-in"><span class="co"># and compiled ODEs for FOMC that are much slower</span></span>
-<span class="r-in"><span class="va">f_mmkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span></span>
-<span class="r-in">    <span class="st">"SFO-SFO"</span> <span class="op">=</span> <span class="va">sfo_sfo</span>, <span class="st">"FOMC-SFO"</span> <span class="op">=</span> <span class="va">fomc_sfo</span>, <span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">dfop_sfo</span><span class="op">)</span>,</span>
-<span class="r-in">  <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="co"># saem fits of SFO-SFO and DFOP-SFO to these data take about five seconds</span></span>
-<span class="r-in"><span class="co"># each on this system, as we use analytical solutions written for saemix.</span></span>
-<span class="r-in"><span class="co"># When using the analytical solutions written for mkin this took around</span></span>
-<span class="r-in"><span class="co"># four minutes</span></span>
-<span class="r-in"><span class="va">f_saem_sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin</span><span class="op">[</span><span class="st">"SFO-SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"><span class="va">f_saem_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin</span><span class="op">[</span><span class="st">"DFOP-SFO"</span>, <span class="op">]</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"><span class="co"># We can use print, plot and summary methods to check the results</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'print': object 'f_saem_dfop_sfo' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_dfop_sfo' not found</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_saem_dfop_sfo' not found</span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># The following takes about 6 minutes</span></span>
-<span class="r-in"><span class="co">#f_saem_dfop_sfo_deSolve &lt;- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",</span></span>
-<span class="r-in"><span class="co">#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co">#saemix::compare.saemix(list(</span></span>
-<span class="r-in"><span class="co">#  f_saem_dfop_sfo$so,</span></span>
-<span class="r-in"><span class="co">#  f_saem_dfop_sfo_deSolve$so))</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># If the model supports it, we can also use eigenvalue based solutions, which</span></span>
-<span class="r-in"><span class="co"># take a similar amount of time</span></span>
-<span class="r-in"><span class="co">#f_saem_sfo_sfo_eigen &lt;- saem(f_mmkin["SFO-SFO", ], solution_type = "eigen",</span></span>
-<span class="r-in"><span class="co">#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span></span>
-<span class="r-in"><span class="co"># }</span></span>
+<span class="r-in"><span><span class="co"># The following fit uses analytical solutions for SFO-SFO and DFOP-SFO,</span></span></span>
+<span class="r-in"><span><span class="co"># and compiled ODEs for FOMC that are much slower</span></span></span>
+<span class="r-in"><span><span class="va">f_mmkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>    <span class="st">"SFO-SFO"</span> <span class="op">=</span> <span class="va">sfo_sfo</span>, <span class="st">"FOMC-SFO"</span> <span class="op">=</span> <span class="va">fomc_sfo</span>, <span class="st">"DFOP-SFO"</span> <span class="op">=</span> <span class="va">dfop_sfo</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  <span class="va">ds</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># saem fits of SFO-SFO and DFOP-SFO to these data take about five seconds</span></span></span>
+<span class="r-in"><span><span class="co"># each on this system, as we use analytical solutions written for saemix.</span></span></span>
+<span class="r-in"><span><span class="co"># When using the analytical solutions written for mkin this took around</span></span></span>
+<span class="r-in"><span><span class="co"># four minutes</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_sfo_sfo</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin</span><span class="op">[</span><span class="st">"SFO-SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin</span><span class="op">[</span><span class="st">"DFOP-SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># We can use print, plot and summary methods to check the results</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Kinetic nonlinear mixed-effects model fit by SAEM</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Structural model:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_A1/dt = + f_parent_to_A1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            exp(-k2 * time))) * parent - k_A1 * A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 170 observations of 2 variable(s) grouped in 5 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood computed by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   AIC   BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   842 836.9   -408</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                    estimate   lower   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0            93.7701 91.1458 96.3945</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_A1            -5.8116 -7.5998 -4.0234</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis     -0.9608 -1.3654 -0.5562</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1              -2.5841 -3.6876 -1.4805</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2              -3.5228 -5.3254 -1.7203</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis            -0.1027 -0.8719  0.6665</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1                  1.8856  1.6676  2.1037</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.parent_0          2.7682  0.7668  4.7695</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_A1          1.7447  0.4047  3.0848</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_parent_qlogis   0.4525  0.1620  0.7431</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k1            1.2423  0.4560  2.0285</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k2            2.0390  0.7601  3.3180</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.g_qlogis          0.4439 -0.3069  1.1947</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span></span>
+<span class="r-plt img"><img src="saem-4.png" alt="" width="700" height="433"></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> saemix version used for fitting:      3.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for pre-fitting:  1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:         4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:27:26 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:27:26 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_A1/dt = + f_parent_to_A1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            exp(-k2 * time))) * parent - k_A1 * A1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 170 observations of 2 variable(s) grouped in 5 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type analytical </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 9.438 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Using 300, 100 iterations and 10 chains</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model: Constant variance </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Mean of starting values for individual parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        parent_0        log_k_A1 f_parent_qlogis          log_k1          log_k2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         93.8102         -5.3734         -0.9711         -1.8799         -4.2708 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        g_qlogis </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          0.1356 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed degradation parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> None</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood computed by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   AIC   BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   842 836.9   -408</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                    est.   lower   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0        93.7701 91.1458 96.3945</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_A1        -5.8116 -7.5998 -4.0234</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis -0.9608 -1.3654 -0.5562</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1          -2.5841 -3.6876 -1.4805</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2          -3.5228 -5.3254 -1.7203</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis        -0.1027 -0.8719  0.6665</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Correlation: </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 parnt_0 lg_k_A1 f_prnt_ log_k1  log_k2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_A1        -0.0160                                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis -0.0263  0.0612                        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1           0.0100 -0.0014 -0.0033                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2           0.0131  0.0050 -0.0011  0.0071        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis        -0.0419 -0.0199  0.0026 -0.0765 -0.0707</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Random effects:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      est.   lower  upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.parent_0        2.7682  0.7668 4.7695</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_A1        1.7447  0.4047 3.0848</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_parent_qlogis 0.4525  0.1620 0.7431</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k1          1.2423  0.4560 2.0285</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k2          2.0390  0.7601 3.3180</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.g_qlogis        0.4439 -0.3069 1.1947</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      est. lower upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1 1.886 1.668 2.104</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                     est.     lower    upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0       93.770115 9.115e+01 96.39447</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_A1            0.002993 5.005e-04  0.01789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_to_A1  0.276720 2.034e-01  0.36443</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k1              0.075467 2.503e-02  0.22753</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k2              0.029516 4.867e-03  0.17902</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g               0.474353 2.949e-01  0.66073</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Resulting formation fractions:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 ff</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_A1   0.2767</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_sink 0.7233</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          DT50   DT90 DT50back DT50_k1 DT50_k2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent  14.56  58.26    17.54   9.185   23.48</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> A1     231.62 769.41       NA      NA      NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          ds   name time observed predicted residual   std standardized</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent    0     97.2  95.78623  1.41377 1.886     0.749758</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent    0     96.4  95.78623  0.61377 1.886     0.325498</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent    3     71.1  71.34666 -0.24666 1.886    -0.130812</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent    3     69.2  71.34666 -2.14666 1.886    -1.138429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent    6     58.1  56.49768  1.60232 1.886     0.849749</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent    6     56.6  56.49768  0.10232 1.886     0.054262</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   10     44.4  44.53511 -0.13511 1.886    -0.071650</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   10     43.4  44.53511 -1.13511 1.886    -0.601974</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   20     33.3  29.77451  3.52549 1.886     1.869656</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   20     29.2  29.77451 -0.57451 1.886    -0.304675</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   34     17.6  19.32540 -1.72540 1.886    -0.915023</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   34     18.0  19.32540 -1.32540 1.886    -0.702894</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   55     10.5  10.42781  0.07219 1.886     0.038282</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   55      9.3  10.42781 -1.12781 1.886    -0.598107</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   90      4.5   3.74190  0.75810 1.886     0.402037</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent   90      4.7   3.74190  0.95810 1.886     0.508102</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent  112      3.0   1.96485  1.03515 1.886     0.548966</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent  112      3.4   1.96485  1.43515 1.886     0.761096</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent  132      2.3   1.09395  1.20605 1.886     0.639596</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6 parent  132      2.7   1.09395  1.60605 1.886     0.851726</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1    3      4.3   4.72702 -0.42702 1.886    -0.226458</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1    3      4.6   4.72702 -0.12702 1.886    -0.067361</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1    6      7.0   7.51314 -0.51314 1.886    -0.272128</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1    6      7.2   7.51314 -0.31314 1.886    -0.166063</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   10      8.2   9.63719 -1.43719 1.886    -0.762179</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   10      8.0   9.63719 -1.63719 1.886    -0.868244</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   20     11.0  11.84931 -0.84931 1.886    -0.450409</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   20     13.7  11.84931  1.85069 1.886     0.981468</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   34     11.5  12.82336 -1.32336 1.886    -0.701808</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   34     12.7  12.82336 -0.12336 1.886    -0.065418</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   55     14.9  12.89456  2.00544 1.886     1.063533</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   55     14.5  12.89456  1.60544 1.886     0.851403</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   90     12.1  11.55919  0.54081 1.886     0.286806</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1   90     12.3  11.55919  0.74081 1.886     0.392871</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1  112      9.9  10.42334 -0.52334 1.886    -0.277539</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1  112     10.2  10.42334 -0.22334 1.886    -0.118442</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1  132      8.8   9.37987 -0.57987 1.886    -0.307519</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 6     A1  132      7.8   9.37987 -1.57987 1.886    -0.837844</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent    0     93.6  90.95702  2.64298 1.886     1.401639</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent    0     92.3  90.95702  1.34298 1.886     0.712217</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent    3     87.0  84.77506  2.22494 1.886     1.179942</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent    3     82.2  84.77506 -2.57506 1.886    -1.365616</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent    7     74.0  77.60962 -3.60962 1.886    -1.914268</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent    7     73.9  77.60962 -3.70962 1.886    -1.967301</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   14     64.2  67.50646 -3.30646 1.886    -1.753499</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   14     69.5  67.50646  1.99354 1.886     1.057221</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   30     54.0  52.48909  1.51091 1.886     0.801271</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   30     54.6  52.48909  2.11091 1.886     1.119465</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   60     41.1  39.54372  1.55628 1.886     0.825335</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   60     38.4  39.54372 -1.14372 1.886    -0.606542</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   90     32.5  33.87968 -1.37968 1.886    -0.731676</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent   90     35.5  33.87968  1.62032 1.886     0.859298</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent  120     28.1  30.41071 -2.31071 1.886    -1.225427</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent  120     29.0  30.41071 -1.41071 1.886    -0.748135</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent  180     26.5  25.36386  1.13614 1.886     0.602524</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7 parent  180     27.6  25.36386  2.23614 1.886     1.185881</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1    3      3.9   2.74863  1.15137 1.886     0.610600</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1    3      3.1   2.74863  0.35137 1.886     0.186341</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1    7      6.9   5.92686  0.97314 1.886     0.516081</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1    7      6.6   5.92686  0.67314 1.886     0.356983</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   14     10.4  10.38800  0.01200 1.886     0.006362</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   14      8.3  10.38800 -2.08800 1.886    -1.107320</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   30     14.4  16.93529 -2.53529 1.886    -1.344524</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   30     13.7  16.93529 -3.23529 1.886    -1.715751</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   60     22.1  22.33044 -0.23044 1.886    -0.122209</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   60     22.3  22.33044 -0.03044 1.886    -0.016144</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   90     27.5  24.42300  3.07700 1.886     1.631809</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1   90     25.4  24.42300  0.97700 1.886     0.518127</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1  120     28.0  25.51140  2.48860 1.886     1.319768</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1  120     26.6  25.51140  1.08860 1.886     0.577313</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1  180     25.8  26.80282 -1.00282 1.886    -0.531818</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 7     A1  180     25.3  26.80282 -1.50282 1.886    -0.796981</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    0     91.9  91.08733  0.81267 1.886     0.430980</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    0     90.8  91.08733 -0.28733 1.886    -0.152377</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    1     64.9  67.55332 -2.65332 1.886    -1.407123</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    1     66.2  67.55332 -1.35332 1.886    -0.717701</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    3     43.5  41.65811  1.84189 1.886     0.976800</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    3     44.1  41.65811  2.44189 1.886     1.294994</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    8     18.3  19.65773 -1.35773 1.886    -0.720038</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent    8     18.1  19.65773 -1.55773 1.886    -0.826103</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   14     10.2  10.65118 -0.45118 1.886    -0.239269</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   14     10.8  10.65118  0.14882 1.886     0.078925</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   27      4.9   3.11694  1.78306 1.886     0.945601</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   27      3.3   3.11694  0.18306 1.886     0.097082</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   48      1.6   0.43165  1.16835 1.886     0.619603</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   48      1.5   0.43165  1.06835 1.886     0.566570</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   70      1.1   0.05441  1.04559 1.886     0.554503</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8 parent   70      0.9   0.05441  0.84559 1.886     0.448438</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1    1      9.6   7.66431  1.93569 1.886     1.026546</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1    1      7.7   7.66431  0.03569 1.886     0.018930</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1    3     15.0  15.57948 -0.57948 1.886    -0.307311</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1    3     15.1  15.57948 -0.47948 1.886    -0.254279</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1    8     21.2  20.38988  0.81012 1.886     0.429625</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1    8     21.1  20.38988  0.71012 1.886     0.376593</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   14     19.7  20.16439 -0.46439 1.886    -0.246276</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   14     18.9  20.16439 -1.26439 1.886    -0.670535</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   27     17.5  16.40918  1.09082 1.886     0.578489</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   27     15.9  16.40918 -0.50918 1.886    -0.270030</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   48      9.5  10.12011 -0.62011 1.886    -0.328861</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   48      9.8  10.12011 -0.32011 1.886    -0.169764</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   70      6.2   5.79080  0.40920 1.886     0.217011</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 8     A1   70      6.1   5.79080  0.30920 1.886     0.163979</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    0     99.8  97.38786  2.41214 1.886     1.279218</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    0     98.3  97.38786  0.91214 1.886     0.483731</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    1     77.1  79.25431 -2.15431 1.886    -1.142481</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    1     77.2  79.25431 -2.05431 1.886    -1.089449</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    3     59.0  55.69866  3.30134 1.886     1.750781</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    3     58.1  55.69866  2.40134 1.886     1.273489</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    8     27.4  31.64893 -4.24893 1.886    -2.253314</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent    8     29.2  31.64893 -2.44893 1.886    -1.298729</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   14     19.1  22.57316 -3.47316 1.886    -1.841901</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   14     29.6  22.57316  7.02684 1.886     3.726507</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   27     10.1  14.11345 -4.01345 1.886    -2.128430</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   27     18.2  14.11345  4.08655 1.886     2.167199</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   48      4.5   6.95586 -2.45586 1.886    -1.302400</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   48      9.1   6.95586  2.14414 1.886     1.137093</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   70      2.3   3.31753 -1.01753 1.886    -0.539619</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   70      2.9   3.31753 -0.41753 1.886    -0.221424</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   91      2.0   1.63642  0.36358 1.886     0.192816</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent   91      1.8   1.63642  0.16358 1.886     0.086751</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent  120      2.0   0.61667  1.38333 1.886     0.733614</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9 parent  120      2.2   0.61667  1.58333 1.886     0.839679</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1    1      4.2   3.67247  0.52753 1.886     0.279763</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1    1      3.9   3.67247  0.22753 1.886     0.120666</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1    3      7.4   8.36240 -0.96240 1.886    -0.510385</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1    3      7.9   8.36240 -0.46240 1.886    -0.245223</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1    8     14.5  12.80590  1.69410 1.886     0.898422</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1    8     13.7  12.80590  0.89410 1.886     0.474162</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   14     14.2  13.99625  0.20375 1.886     0.108053</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   14     12.2  13.99625 -1.79625 1.886    -0.952596</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   27     13.7  14.22730 -0.52730 1.886    -0.279641</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   27     13.2  14.22730 -1.02730 1.886    -0.544803</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   48     13.6  13.33713  0.26287 1.886     0.139406</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   48     15.4  13.33713  2.06287 1.886     1.093991</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   70     10.4  11.84008 -1.44008 1.886    -0.763708</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   70     11.6  11.84008 -0.24008 1.886    -0.127318</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   91     10.0  10.30732 -0.30732 1.886    -0.162980</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1   91      9.5  10.30732 -0.80732 1.886    -0.428142</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1  120      9.1   8.33981  0.76019 1.886     0.403149</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   Dataset 9     A1  120      9.0   8.33981  0.66019 1.886     0.350117</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent    0     96.1  93.70349  2.39651 1.886     1.270926</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent    0     94.3  93.70349  0.59651 1.886     0.316342</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent    8     73.9  77.86253 -3.96253 1.886    -2.101429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent    8     73.9  77.86253 -3.96253 1.886    -2.101429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   14     69.4  70.18665 -0.78665 1.886    -0.417182</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   14     73.1  70.18665  2.91335 1.886     1.545019</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   21     65.6  64.03245  1.56755 1.886     0.831308</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   21     65.3  64.03245  1.26755 1.886     0.672210</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   41     55.9  54.71491  1.18509 1.886     0.628480</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   41     54.4  54.71491 -0.31491 1.886    -0.167007</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   63     47.0  49.63436 -2.63436 1.886    -1.397065</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   63     49.3  49.63436 -0.33436 1.886    -0.177319</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   91     44.7  45.08853 -0.38853 1.886    -0.206049</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent   91     46.7  45.08853  1.61147 1.886     0.854600</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent  120     42.1  41.07653  1.02347 1.886     0.542772</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10 parent  120     41.3  41.07653  0.22347 1.886     0.118513</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1    8      3.3   4.08295 -0.78295 1.886    -0.415218</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1    8      3.4   4.08295 -0.68295 1.886    -0.362186</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   14      3.9   6.04367 -2.14367 1.886    -1.136841</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   14      2.9   6.04367 -3.14367 1.886    -1.667165</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   21      6.4   7.59693 -1.19693 1.886    -0.634761</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   21      7.2   7.59693 -0.39693 1.886    -0.210502</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   41      9.1   9.86436 -0.76436 1.886    -0.405361</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   41      8.5   9.86436 -1.36436 1.886    -0.723555</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   63     11.7  10.99397  0.70603 1.886     0.374425</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   63     12.0  10.99397  1.00603 1.886     0.533522</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   91     13.3  11.91274  1.38726 1.886     0.735696</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1   91     13.2  11.91274  1.28726 1.886     0.682663</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1  120     14.3  12.66519  1.63481 1.886     0.866981</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Dataset 10     A1  120     12.1  12.66519 -0.56519 1.886    -0.299733</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># The following takes about 6 minutes</span></span></span>
+<span class="r-in"><span><span class="co">#f_saem_dfop_sfo_deSolve &lt;- saem(f_mmkin["DFOP-SFO", ], solution_type = "deSolve",</span></span></span>
+<span class="r-in"><span><span class="co">#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#saemix::compare.saemix(list(</span></span></span>
+<span class="r-in"><span><span class="co">#  f_saem_dfop_sfo$so,</span></span></span>
+<span class="r-in"><span><span class="co">#  f_saem_dfop_sfo_deSolve$so))</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># If the model supports it, we can also use eigenvalue based solutions, which</span></span></span>
+<span class="r-in"><span><span class="co"># take a similar amount of time</span></span></span>
+<span class="r-in"><span><span class="co">#f_saem_sfo_sfo_eigen &lt;- saem(f_mmkin["SFO-SFO", ], solution_type = "eigen",</span></span></span>
+<span class="r-in"><span><span class="co">#  control = list(nbiter.saemix = c(200, 80), nbdisplay = 10))</span></span></span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
 </code></pre></div>
     </div>
   </div>
@@ -309,7 +650,7 @@ using <a href="mmkin.html">mmkin</a>.</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/reference/summary.mkinfit.html b/docs/dev/reference/summary.mkinfit.html
index 494731e9..3a31bfe7 100644
--- a/docs/dev/reference/summary.mkinfit.html
+++ b/docs/dev/reference/summary.mkinfit.html
@@ -1,71 +1,16 @@
-<!-- Generated by pkgdown: do not edit by hand -->
 <!DOCTYPE html>
-<html lang="en">
-  <head>
-  <meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
-
-<title>Summary method for class "mkinfit" — summary.mkinfit • mkin</title>
-
-
-<!-- jquery -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script>
-<!-- Bootstrap -->
-
-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
-
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
-
-<!-- bootstrap-toc -->
-<link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script>
-
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-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
-
-<!-- clipboard.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script>
-
-<!-- headroom.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
-
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-<link href="../pkgdown.css" rel="stylesheet">
-<script src="../pkgdown.js"></script>
-
-
-
-
-<meta property="og:title" content="Summary method for class "mkinfit" — summary.mkinfit" />
-<meta property="og:description" content="Lists model equations, initial parameter values, optimised parameters with
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Summary method for class "mkinfit" — summary.mkinfit • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Summary method for class " mkinfit summary.mkinfit><meta property="og:description" content="Lists model equations, initial parameter values, optimised parameters with
 some uncertainty statistics, the chi2 error levels calculated according to
 FOCUS guidance (2006) as defined therein, formation fractions, DT50 values
 and optionally the data, consisting of observed, predicted and residual
-values." />
-
-
-<meta name="robots" content="noindex">
-
-<!-- mathjax -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
-
-<!--[if lt IE 9]>
+values."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
-
-
+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
-  </head>
-
-  <body data-spy="scroll" data-target="#toc">
     <div class="container template-reference-topic">
-      <header>
-      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
     <div class="navbar-header">
       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -76,23 +21,21 @@ values." />
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
     <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
   </a>
-  <ul class="dropdown-menu" role="menu">
-    <li>
+  <ul class="dropdown-menu" role="menu"><li>
       <a href="../articles/mkin.html">Introduction to mkin</a>
     </li>
     <li>
@@ -102,6 +45,9 @@ values." />
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -116,34 +62,27 @@ values." />
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
-  </ul>
-</li>
+  </ul></li>
 <li>
   <a href="../news/index.html">News</a>
 </li>
-      </ul>
-      <ul class="nav navbar-nav navbar-right">
-        <li>
-  <a href="https://github.com/jranke/mkin/">
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
-      </ul>
-      
-    </div><!--/.nav-collapse -->
+      </ul></div><!--/.nav-collapse -->
   </div><!--/.container -->
 </div><!--/.navbar -->
 
       
 
-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Summary method for class "mkinfit"</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/summary.mkinfit.R'><code>R/summary.mkinfit.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/summary.mkinfit.R" class="external-link"><code>R/summary.mkinfit.R</code></a></small>
     <div class="hidden name"><code>summary.mkinfit.Rd</code></div>
     </div>
 
@@ -155,187 +94,217 @@ and optionally the data, consisting of observed, predicted and residual
 values.</p>
     </div>
 
-    <pre class="usage"><span class='co'># S3 method for mkinfit</span>
-<span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>object</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span>, distimes <span class='op'>=</span> <span class='cn'>TRUE</span>, alpha <span class='op'>=</span> <span class='fl'>0.05</span>, <span class='va'>...</span><span class='op'>)</span>
-
-<span class='co'># S3 method for summary.mkinfit</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, digits <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>max</a></span><span class='op'>(</span><span class='fl'>3</span>, <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span><span class='op'>(</span><span class='st'>"digits"</span><span class='op'>)</span> <span class='op'>-</span> <span class='fl'>3</span><span class='op'>)</span>, <span class='va'>...</span><span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>object</th>
-      <td><p>an object of class <code><a href='mkinfit.html'>mkinfit</a></code>.</p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>logical, indicating whether the data should be included in the
-summary.</p></td>
-    </tr>
-    <tr>
-      <th>distimes</th>
-      <td><p>logical, indicating whether DT50 and DT90 values should be
-included.</p></td>
-    </tr>
-    <tr>
-      <th>alpha</th>
-      <td><p>error level for confidence interval estimation from t
-distribution</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>optional arguments passed to methods like <code>print</code>.</p></td>
-    </tr>
-    <tr>
-      <th>x</th>
-      <td><p>an object of class <code>summary.mkinfit</code>.</p></td>
-    </tr>
-    <tr>
-      <th>digits</th>
-      <td><p>Number of digits to use for printing</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>The summary function returns a list with components, among others</p>
-<dt>version, Rversion</dt><dd><p>The mkin and R versions used</p></dd>
-<dt>date.fit, date.summary</dt><dd><p>The dates where the fit and the summary were
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mkinfit</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, data <span class="op">=</span> <span class="cn">TRUE</span>, distimes <span class="op">=</span> <span class="cn">TRUE</span>, alpha <span class="op">=</span> <span class="fl">0.05</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for summary.mkinfit</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>object</dt>
+<dd><p>an object of class <code><a href="mkinfit.html">mkinfit</a></code>.</p></dd>
+
+
+<dt>data</dt>
+<dd><p>logical, indicating whether the data should be included in the
+summary.</p></dd>
+
+
+<dt>distimes</dt>
+<dd><p>logical, indicating whether DT50 and DT90 values should be
+included.</p></dd>
+
+
+<dt>alpha</dt>
+<dd><p>error level for confidence interval estimation from t
+distribution</p></dd>
+
+
+<dt>...</dt>
+<dd><p>optional arguments passed to methods like <code>print</code>.</p></dd>
+
+
+<dt>x</dt>
+<dd><p>an object of class <code>summary.mkinfit</code>.</p></dd>
+
+
+<dt>digits</dt>
+<dd><p>Number of digits to use for printing</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>The summary function returns a list with components, among others</p>
+<dl><dt>version, Rversion</dt>
+<dd><p>The mkin and R versions used</p></dd>
+
+<dt>date.fit, date.summary</dt>
+<dd><p>The dates where the fit and the summary were
 produced</p></dd>
-<dt>diffs</dt><dd><p>The differential equations used in the model</p></dd>
-<dt>use_of_ff</dt><dd><p>Was maximum or minimum use made of formation fractions</p></dd>
-<dt>bpar</dt><dd><p>Optimised and backtransformed
+
+<dt>diffs</dt>
+<dd><p>The differential equations used in the model</p></dd>
+
+<dt>use_of_ff</dt>
+<dd><p>Was maximum or minimum use made of formation fractions</p></dd>
+
+<dt>bpar</dt>
+<dd><p>Optimised and backtransformed
 parameters</p></dd>
-<dt>data</dt><dd><p>The data (see Description above).</p></dd>
-<dt>start</dt><dd><p>The starting values and bounds, if applicable, for optimised
+
+<dt>data</dt>
+<dd><p>The data (see Description above).</p></dd>
+
+<dt>start</dt>
+<dd><p>The starting values and bounds, if applicable, for optimised
 parameters.</p></dd>
-<dt>fixed</dt><dd><p>The values of fixed parameters.</p></dd>
-<dt>errmin </dt><dd><p>The chi2 error levels for
+
+<dt>fixed</dt>
+<dd><p>The values of fixed parameters.</p></dd>
+
+<dt>errmin </dt>
+<dd><p>The chi2 error levels for
 each observed variable.</p></dd>
-<dt>bparms.ode</dt><dd><p>All backtransformed ODE
+
+<dt>bparms.ode</dt>
+<dd><p>All backtransformed ODE
 parameters, for use as starting parameters for related models.</p></dd>
-<dt>errparms</dt><dd><p>Error model parameters.</p></dd>
-<dt>ff</dt><dd><p>The estimated formation fractions derived from the fitted
+
+<dt>errparms</dt>
+<dd><p>Error model parameters.</p></dd>
+
+<dt>ff</dt>
+<dd><p>The estimated formation fractions derived from the fitted
 model.</p></dd>
-<dt>distimes</dt><dd><p>The DT50 and DT90 values for each observed variable.</p></dd>
-<dt>SFORB</dt><dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd>
-The print method is called for its side effect, i.e. printing the summary.
 
-    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
+<dt>distimes</dt>
+<dd><p>The DT50 and DT90 values for each observed variable.</p></dd>
+
+<dt>SFORB</dt>
+<dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd>
 
-    <p>FOCUS (2006) &#8220;Guidance Document on Estimating Persistence
+</dl><p>The print method is called for its side effect, i.e. printing the summary.</p>
+    </div>
+    <div id="references">
+    <h2>References</h2>
+    <p>FOCUS (2006) “Guidance Document on Estimating Persistence
 and Degradation Kinetics from Environmental Fate Studies on Pesticides in
-EU Registration&#8221; Report of the FOCUS Work Group on Degradation Kinetics,
+EU Registration” Report of the FOCUS Work Group on Degradation Kinetics,
 EC Document Reference Sanco/10058/2005 version 2.0, 434 pp,
-<a href='http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics'>http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a></p>
-    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
-
+<a href="http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics" class="external-link">http://esdac.jrc.ec.europa.eu/projects/degradation-kinetics</a></p>
+    </div>
+    <div id="author">
+    <h2>Author</h2>
     <p>Johannes Ranke</p>
+    </div>
 
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-  <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='fu'><a href='mkinfit.html'>mkinfit</a></span><span class='op'>(</span><span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>, <span class='va'>FOCUS_2006_A</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; mkin version used for fitting:    1.0.3.9000 
-#&gt; R version used for fitting:       4.0.3 
-#&gt; Date of fit:     Mon Feb 15 17:13:09 2021 
-#&gt; Date of summary: Mon Feb 15 17:13:09 2021 
-#&gt; 
-#&gt; Equations:
-#&gt; d_parent/dt = - k_parent * parent
-#&gt; 
-#&gt; Model predictions using solution type analytical 
-#&gt; 
-#&gt; Fitted using 131 model solutions performed in 0.027 s
-#&gt; 
-#&gt; Error model: Constant variance 
-#&gt; 
-#&gt; Error model algorithm: OLS 
-#&gt; 
-#&gt; Starting values for parameters to be optimised:
-#&gt;           value   type
-#&gt; parent_0 101.24  state
-#&gt; k_parent   0.10 deparm
-#&gt; 
-#&gt; Starting values for the transformed parameters actually optimised:
-#&gt;                   value lower upper
-#&gt; parent_0     101.240000  -Inf   Inf
-#&gt; log_k_parent  -2.302585  -Inf   Inf
-#&gt; 
-#&gt; Fixed parameter values:
-#&gt; None
-#&gt; 
-#&gt; Results:
-#&gt; 
-#&gt;        AIC     BIC    logLik
-#&gt;   55.28197 55.5203 -24.64099
-#&gt; 
-#&gt; Optimised, transformed parameters with symmetric confidence intervals:
-#&gt;              Estimate Std. Error  Lower   Upper
-#&gt; parent_0      109.200    3.70400 99.630 118.700
-#&gt; log_k_parent   -3.291    0.09176 -3.527  -3.055
-#&gt; sigma           5.266    1.31600  1.882   8.649
-#&gt; 
-#&gt; Parameter correlation:
-#&gt;               parent_0 log_k_parent     sigma
-#&gt; parent_0     1.000e+00    5.428e-01 1.642e-07
-#&gt; log_k_parent 5.428e-01    1.000e+00 2.507e-07
-#&gt; sigma        1.642e-07    2.507e-07 1.000e+00
-#&gt; 
-#&gt; Backtransformed parameters:
-#&gt; Confidence intervals for internally transformed parameters are asymmetric.
-#&gt; t-test (unrealistically) based on the assumption of normal distribution
-#&gt; for estimators of untransformed parameters.
-#&gt;           Estimate t value    Pr(&gt;t)   Lower     Upper
-#&gt; parent_0 109.20000   29.47 4.218e-07 99.6300 118.70000
-#&gt; k_parent   0.03722   10.90 5.650e-05  0.0294   0.04712
-#&gt; sigma      5.26600    4.00 5.162e-03  1.8820   8.64900
-#&gt; 
-#&gt; FOCUS Chi2 error levels in percent:
-#&gt;          err.min n.optim df
-#&gt; All data   8.385       2  6
-#&gt; parent     8.385       2  6
-#&gt; 
-#&gt; Estimated disappearance times:
-#&gt;         DT50  DT90
-#&gt; parent 18.62 61.87
-#&gt; 
-#&gt; Data:
-#&gt;  time variable observed predicted residual
-#&gt;     0   parent   101.24   109.153  -7.9132
-#&gt;     3   parent    99.27    97.622   1.6484
-#&gt;     7   parent    90.11    84.119   5.9913
-#&gt;    14   parent    72.19    64.826   7.3641
-#&gt;    30   parent    29.71    35.738  -6.0283
-#&gt;    62   parent     5.98    10.862  -4.8818
-#&gt;    90   parent     1.54     3.831  -2.2911
-#&gt;   118   parent     0.39     1.351  -0.9613</div><div class='input'>
-</div></pre>
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">FOCUS_2006_A</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for fitting:    1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:       4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:27:28 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:27:28 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - k_parent * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type analytical </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted using 131 model solutions performed in 0.029 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model: Constant variance </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model algorithm: OLS </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Starting values for parameters to be optimised:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           value   type</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 101.24  state</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_parent   0.10 deparm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Starting values for the transformed parameters actually optimised:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   value lower upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0     101.240000  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent  -2.302585  -Inf   Inf</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> None</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        AIC     BIC    logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   55.28197 55.5203 -24.64099</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised, transformed parameters with symmetric confidence intervals:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              Estimate Std. Error  Lower   Upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0      109.200    3.70400 99.630 118.700</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent   -3.291    0.09176 -3.527  -3.055</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma           5.266    1.31600  1.882   8.649</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Parameter correlation:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>               parent_0 log_k_parent     sigma</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0     1.000e+00    5.428e-01 1.642e-07</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent 5.428e-01    1.000e+00 2.507e-07</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma        1.642e-07    2.507e-07 1.000e+00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Confidence intervals for internally transformed parameters are asymmetric.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> t-test (unrealistically) based on the assumption of normal distribution</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> for estimators of untransformed parameters.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           Estimate t value    Pr(&gt;t)   Lower     Upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 109.20000   29.47 4.218e-07 99.6300 118.70000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_parent   0.03722   10.90 5.650e-05  0.0294   0.04712</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sigma      5.26600    4.00 5.162e-03  1.8820   8.64900</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> FOCUS Chi2 error levels in percent:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          err.min n.optim df</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> All data   8.385       2  6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent     8.385       2  6</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         DT50  DT90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent 18.62 61.87</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  time variable observed predicted residual</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     0   parent   101.24   109.153  -7.9132</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     3   parent    99.27    97.622   1.6484</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     7   parent    90.11    84.119   5.9913</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    14   parent    72.19    64.826   7.3641</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    30   parent    29.71    35.738  -6.0283</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    62   parent     5.98    10.862  -4.8818</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    90   parent     1.54     3.831  -2.2911</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   118   parent     0.39     1.351  -0.9613</span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
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diff --git a/docs/dev/reference/summary.mmkin.html b/docs/dev/reference/summary.mmkin.html
new file mode 100644
index 00000000..e916ba24
--- /dev/null
+++ b/docs/dev/reference/summary.mmkin.html
@@ -0,0 +1,173 @@
+<!DOCTYPE html>
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Summary method for class "mmkin" — summary.mmkin • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Summary method for class " mmkin summary.mmkin><meta property="og:description" content="Shows convergence information on the mkinfit objects contained in the object
+and gives an overview of ill-defined parameters calculated by illparms."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
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+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
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+  <a href="../reference/index.html">Functions and data</a>
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+    Articles
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+      <a href="../articles/mkin.html">Introduction to mkin</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_D.html">Example evaluation of FOCUS Example Dataset D</a>
+    </li>
+    <li>
+      <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
+    </li>
+    <li>
+      <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+    </li>
+  </ul></li>
+<li>
+  <a href="../news/index.html">News</a>
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+      </ul><ul class="nav navbar-nav navbar-right"><li>
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+     
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+</div><!--/.navbar -->
+
+      
+
+      </header><div class="row">
+  <div class="col-md-9 contents">
+    <div class="page-header">
+    <h1>Summary method for class "mmkin"</h1>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/summary.mmkin.R" class="external-link"><code>R/summary.mmkin.R</code></a></small>
+    <div class="hidden name"><code>summary.mmkin.Rd</code></div>
+    </div>
+
+    <div class="ref-description">
+    <p>Shows convergence information on the <a href="mkinfit.html">mkinfit</a> objects contained in the object
+and gives an overview of ill-defined parameters calculated by <a href="illparms.html">illparms</a>.</p>
+    </div>
+
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, conf.level <span class="op">=</span> <span class="fl">0.95</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for summary.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>object</dt>
+<dd><p>an object of class <a href="mmkin.html">mmkin</a></p></dd>
+
+
+<dt>conf.level</dt>
+<dd><p>confidence level for testing parameters</p></dd>
+
+
+<dt>...</dt>
+<dd><p>optional arguments passed to methods like <code>print</code>.</p></dd>
+
+
+<dt>x</dt>
+<dd><p>an object of class <code>summary.mmkin</code>.</p></dd>
+
+
+<dt>digits</dt>
+<dd><p>number of digits to use for printing</p></dd>
+
+</dl></div>
+
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">fits</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="st">"FOMC"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"FOCUS A"</span> <span class="op">=</span> <span class="va">FOCUS_2006_A</span>,</span></span>
+<span class="r-in"><span>       <span class="st">"FOCUS C"</span> <span class="op">=</span> <span class="va">FOCUS_2006_C</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>  quiet <span class="op">=</span> <span class="cn">TRUE</span>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Error model: Constant variance </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 0.802 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Convergence:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       dataset</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> model  FOCUS A FOCUS C</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   SFO  OK      OK     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   FOMC OK      OK     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> OK: No warnings</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Ill-defined parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       dataset</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> model  FOCUS A                      FOCUS C</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   SFO                                      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   FOMC parent_0, alpha, beta, sigma        </span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
+</div>
+
+
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
+</div>
+
+<div class="pkgdown">
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
+</div>
+
+      </footer></div>
+
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+  </body></html>
+
diff --git a/docs/dev/reference/summary.nlme.mmkin.html b/docs/dev/reference/summary.nlme.mmkin.html
index b2f6624a..067efcfe 100644
--- a/docs/dev/reference/summary.nlme.mmkin.html
+++ b/docs/dev/reference/summary.nlme.mmkin.html
@@ -1,71 +1,16 @@
-<!-- Generated by pkgdown: do not edit by hand -->
 <!DOCTYPE html>
-<html lang="en">
-  <head>
-  <meta charset="utf-8">
-<meta http-equiv="X-UA-Compatible" content="IE=edge">
-<meta name="viewport" content="width=device-width, initial-scale=1.0">
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-
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-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous" />
-
-<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script>
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-<link rel="stylesheet" href="../bootstrap-toc.css">
-<script src="../bootstrap-toc.js"></script>
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-<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous" />
-
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-
-<!-- headroom.js -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script>
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-<link href="../pkgdown.css" rel="stylesheet">
-<script src="../pkgdown.js"></script>
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-
-
-<meta property="og:title" content="Summary method for class "nlme.mmkin" — summary.nlme.mmkin" />
-<meta property="og:description" content="Lists model equations, initial parameter values, optimised parameters
+<!-- Generated by pkgdown: do not edit by hand --><html lang="en"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"><meta charset="utf-8"><meta http-equiv="X-UA-Compatible" content="IE=edge"><meta name="viewport" content="width=device-width, initial-scale=1.0"><title>Summary method for class "nlme.mmkin" — summary.nlme.mmkin • mkin</title><!-- jquery --><script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js" integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin="anonymous"></script><!-- Bootstrap --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/css/bootstrap.min.css" integrity="sha256-bZLfwXAP04zRMK2BjiO8iu9pf4FbLqX6zitd+tIvLhE=" crossorigin="anonymous"><script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/3.4.1/js/bootstrap.min.js" integrity="sha256-nuL8/2cJ5NDSSwnKD8VqreErSWHtnEP9E7AySL+1ev4=" crossorigin="anonymous"></script><!-- bootstrap-toc --><link rel="stylesheet" href="../bootstrap-toc.css"><script src="../bootstrap-toc.js"></script><!-- Font Awesome icons --><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/all.min.css" integrity="sha256-mmgLkCYLUQbXn0B1SRqzHar6dCnv9oZFPEC1g1cwlkk=" crossorigin="anonymous"><link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.12.1/css/v4-shims.min.css" integrity="sha256-wZjR52fzng1pJHwx4aV2AO3yyTOXrcDW7jBpJtTwVxw=" crossorigin="anonymous"><!-- clipboard.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/clipboard.js/2.0.6/clipboard.min.js" integrity="sha256-inc5kl9MA1hkeYUt+EC3BhlIgyp/2jDIyBLS6k3UxPI=" crossorigin="anonymous"></script><!-- headroom.js --><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/headroom.min.js" integrity="sha256-AsUX4SJE1+yuDu5+mAVzJbuYNPHj/WroHuZ8Ir/CkE0=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/headroom/0.11.0/jQuery.headroom.min.js" integrity="sha256-ZX/yNShbjqsohH1k95liqY9Gd8uOiE1S4vZc+9KQ1K4=" crossorigin="anonymous"></script><!-- pkgdown --><link href="../pkgdown.css" rel="stylesheet"><script src="../pkgdown.js"></script><meta property="og:title" content="Summary method for class " nlme.mmkin summary.nlme.mmkin><meta property="og:description" content="Lists model equations, initial parameter values, optimised parameters
 for fixed effects (population), random effects (deviations from the
 population mean) and residual error model, as well as the resulting
 endpoints such as formation fractions and DT50 values. Optionally
-(default is FALSE), the data are listed in full." />
-
-
-<meta name="robots" content="noindex">
-
-<!-- mathjax -->
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script>
-<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script>
-
-<!--[if lt IE 9]>
+(default is FALSE), the data are listed in full."><meta name="robots" content="noindex"><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/RWIsaSScxxlsrv8k=" crossorigin="anonymous"></script><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/config/TeX-AMS-MML_HTMLorMML.js" integrity="sha256-84DKXVJXs0/F8OTMzX4UR909+jtl4G7SPypPavF+GfA=" crossorigin="anonymous"></script><!--[if lt IE 9]>
 <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
 <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
-<![endif]-->
-
+<![endif]--></head><body data-spy="scroll" data-target="#toc">
+    
 
-
-  </head>
-
-  <body data-spy="scroll" data-target="#toc">
     <div class="container template-reference-topic">
-      <header>
-      <div class="navbar navbar-default navbar-fixed-top" role="navigation">
+      <header><div class="navbar navbar-default navbar-fixed-top" role="navigation">
   <div class="container">
     <div class="navbar-header">
       <button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#navbar" aria-expanded="false">
@@ -76,23 +21,21 @@ endpoints such as formation fractions and DT50 values. Optionally
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.0.3.9000</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
     <div id="navbar" class="navbar-collapse collapse">
-      <ul class="nav navbar-nav">
-        <li>
+      <ul class="nav navbar-nav"><li>
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
   </a>
-  <ul class="dropdown-menu" role="menu">
-    <li>
+  <ul class="dropdown-menu" role="menu"><li>
       <a href="../articles/mkin.html">Introduction to mkin</a>
     </li>
     <li>
@@ -102,6 +45,9 @@ endpoints such as formation fractions and DT50 values. Optionally
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -116,34 +62,27 @@ endpoints such as formation fractions and DT50 values. Optionally
     <li>
       <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
     </li>
-  </ul>
-</li>
+  </ul></li>
 <li>
   <a href="../news/index.html">News</a>
 </li>
-      </ul>
-      <ul class="nav navbar-nav navbar-right">
-        <li>
-  <a href="https://github.com/jranke/mkin/">
+      </ul><ul class="nav navbar-nav navbar-right"><li>
+  <a href="https://github.com/jranke/mkin/" class="external-link">
     <span class="fab fa-github fa-lg"></span>
      
   </a>
 </li>
-      </ul>
-      
-    </div><!--/.nav-collapse -->
+      </ul></div><!--/.nav-collapse -->
   </div><!--/.container -->
 </div><!--/.navbar -->
 
       
 
-      </header>
-
-<div class="row">
+      </header><div class="row">
   <div class="col-md-9 contents">
     <div class="page-header">
     <h1>Summary method for class "nlme.mmkin"</h1>
-    <small class="dont-index">Source: <a href='https://github.com/jranke/mkin/blob/master/R/summary.nlme.mmkin.R'><code>R/summary.nlme.mmkin.R</code></a></small>
+    <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/summary.nlme.mmkin.R" class="external-link"><code>R/summary.nlme.mmkin.R</code></a></small>
     <div class="hidden name"><code>summary.nlme.mmkin.Rd</code></div>
     </div>
 
@@ -155,295 +94,320 @@ endpoints such as formation fractions and DT50 values. Optionally
 (default is FALSE), the data are listed in full.</p>
     </div>
 
-    <pre class="usage"><span class='co'># S3 method for nlme.mmkin</span>
-<span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span>
-  <span class='va'>object</span>,
-  data <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  verbose <span class='op'>=</span> <span class='cn'>FALSE</span>,
-  distimes <span class='op'>=</span> <span class='cn'>TRUE</span>,
-  alpha <span class='op'>=</span> <span class='fl'>0.05</span>,
-  <span class='va'>...</span>
-<span class='op'>)</span>
-
-<span class='co'># S3 method for summary.nlme.mmkin</span>
-<span class='fu'><a href='https://rdrr.io/r/base/print.html'>print</a></span><span class='op'>(</span><span class='va'>x</span>, digits <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Extremes.html'>max</a></span><span class='op'>(</span><span class='fl'>3</span>, <span class='fu'><a href='https://rdrr.io/r/base/options.html'>getOption</a></span><span class='op'>(</span><span class='st'>"digits"</span><span class='op'>)</span> <span class='op'>-</span> <span class='fl'>3</span><span class='op'>)</span>, verbose <span class='op'>=</span> <span class='va'>x</span><span class='op'>$</span><span class='va'>verbose</span>, <span class='va'>...</span><span class='op'>)</span></pre>
-
-    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
-    <table class="ref-arguments">
-    <colgroup><col class="name" /><col class="desc" /></colgroup>
-    <tr>
-      <th>object</th>
-      <td><p>an object of class <a href='nlme.mmkin.html'>nlme.mmkin</a></p></td>
-    </tr>
-    <tr>
-      <th>data</th>
-      <td><p>logical, indicating whether the full data should be included in
-the summary.</p></td>
-    </tr>
-    <tr>
-      <th>verbose</th>
-      <td><p>Should the summary be verbose?</p></td>
-    </tr>
-    <tr>
-      <th>distimes</th>
-      <td><p>logical, indicating whether DT50 and DT90 values should be
-included.</p></td>
-    </tr>
-    <tr>
-      <th>alpha</th>
-      <td><p>error level for confidence interval estimation from the t
-distribution</p></td>
-    </tr>
-    <tr>
-      <th>...</th>
-      <td><p>optional arguments passed to methods like <code>print</code>.</p></td>
-    </tr>
-    <tr>
-      <th>x</th>
-      <td><p>an object of class summary.nlme.mmkin</p></td>
-    </tr>
-    <tr>
-      <th>digits</th>
-      <td><p>Number of digits to use for printing</p></td>
-    </tr>
-    </table>
-
-    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
-
-    <p>The summary function returns a list based on the <a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a> object
+    <div id="ref-usage">
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for nlme.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  data <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  verbose <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  distimes <span class="op">=</span> <span class="cn">TRUE</span>,</span>
+<span>  alpha <span class="op">=</span> <span class="fl">0.05</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for summary.nlme.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, verbose <span class="op">=</span> <span class="va">x</span><span class="op">$</span><span class="va">verbose</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+    </div>
+
+    <div id="arguments">
+    <h2>Arguments</h2>
+    <dl><dt>object</dt>
+<dd><p>an object of class <a href="nlme.mmkin.html">nlme.mmkin</a></p></dd>
+
+
+<dt>data</dt>
+<dd><p>logical, indicating whether the full data should be included in
+the summary.</p></dd>
+
+
+<dt>verbose</dt>
+<dd><p>Should the summary be verbose?</p></dd>
+
+
+<dt>distimes</dt>
+<dd><p>logical, indicating whether DT50 and DT90 values should be
+included.</p></dd>
+
+
+<dt>alpha</dt>
+<dd><p>error level for confidence interval estimation from the t
+distribution</p></dd>
+
+
+<dt>...</dt>
+<dd><p>optional arguments passed to methods like <code>print</code>.</p></dd>
+
+
+<dt>x</dt>
+<dd><p>an object of class summary.nlme.mmkin</p></dd>
+
+
+<dt>digits</dt>
+<dd><p>Number of digits to use for printing</p></dd>
+
+</dl></div>
+    <div id="value">
+    <h2>Value</h2>
+    
+
+<p>The summary function returns a list based on the <a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a> object
 obtained in the fit, with at least the following additional components</p>
-<dt>nlmeversion, mkinversion, Rversion</dt><dd><p>The nlme, mkin and R versions used</p></dd>
-<dt>date.fit, date.summary</dt><dd><p>The dates where the fit and the summary were
+<dl><dt>nlmeversion, mkinversion, Rversion</dt>
+<dd><p>The nlme, mkin and R versions used</p></dd>
+
+<dt>date.fit, date.summary</dt>
+<dd><p>The dates where the fit and the summary were
 produced</p></dd>
-<dt>diffs</dt><dd><p>The differential equations used in the degradation model</p></dd>
-<dt>use_of_ff</dt><dd><p>Was maximum or minimum use made of formation fractions</p></dd>
-<dt>data</dt><dd><p>The data</p></dd>
-<dt>confint_trans</dt><dd><p>Transformed parameters as used in the optimisation, with confidence intervals</p></dd>
-<dt>confint_back</dt><dd><p>Backtransformed parameters, with confidence intervals if available</p></dd>
-<dt>ff</dt><dd><p>The estimated formation fractions derived from the fitted
+
+<dt>diffs</dt>
+<dd><p>The differential equations used in the degradation model</p></dd>
+
+<dt>use_of_ff</dt>
+<dd><p>Was maximum or minimum use made of formation fractions</p></dd>
+
+<dt>data</dt>
+<dd><p>The data</p></dd>
+
+<dt>confint_trans</dt>
+<dd><p>Transformed parameters as used in the optimisation, with confidence intervals</p></dd>
+
+<dt>confint_back</dt>
+<dd><p>Backtransformed parameters, with confidence intervals if available</p></dd>
+
+<dt>ff</dt>
+<dd><p>The estimated formation fractions derived from the fitted
 model.</p></dd>
-<dt>distimes</dt><dd><p>The DT50 and DT90 values for each observed variable.</p></dd>
-<dt>SFORB</dt><dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd>
-The print method is called for its side effect, i.e. printing the summary.
 
-    <h2 class="hasAnchor" id="author"><a class="anchor" href="#author"></a>Author</h2>
+<dt>distimes</dt>
+<dd><p>The DT50 and DT90 values for each observed variable.</p></dd>
+
+<dt>SFORB</dt>
+<dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd>
 
+</dl><p>The print method is called for its side effect, i.e. printing the summary.</p>
+    </div>
+    <div id="author">
+    <h2>Author</h2>
     <p>Johannes Ranke for the mkin specific parts
 José Pinheiro and Douglas Bates for the components inherited from nlme</p>
+    </div>
 
-    <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
-    <pre class="examples"><div class='input'>
-<span class='co'># Generate five datasets following SFO kinetics</span>
-<span class='va'>sampling_times</span> <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='fl'>0</span>, <span class='fl'>1</span>, <span class='fl'>3</span>, <span class='fl'>7</span>, <span class='fl'>14</span>, <span class='fl'>28</span>, <span class='fl'>60</span>, <span class='fl'>90</span>, <span class='fl'>120</span><span class='op'>)</span>
-<span class='va'>dt50_sfo_in_pop</span> <span class='op'>&lt;-</span> <span class='fl'>50</span>
-<span class='va'>k_in_pop</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/Log.html'>log</a></span><span class='op'>(</span><span class='fl'>2</span><span class='op'>)</span> <span class='op'>/</span> <span class='va'>dt50_sfo_in_pop</span>
-<span class='fu'><a href='https://rdrr.io/r/base/Random.html'>set.seed</a></span><span class='op'>(</span><span class='fl'>1234</span><span class='op'>)</span>
-<span class='va'>k_in</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/stats/Lognormal.html'>rlnorm</a></span><span class='op'>(</span><span class='fl'>5</span>, <span class='fu'><a href='https://rdrr.io/r/base/Log.html'>log</a></span><span class='op'>(</span><span class='va'>k_in_pop</span><span class='op'>)</span>, <span class='fl'>0.5</span><span class='op'>)</span>
-<span class='va'>SFO</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fu'><a href='mkinmod.html'>mkinsub</a></span><span class='op'>(</span><span class='st'>"SFO"</span><span class='op'>)</span><span class='op'>)</span>
-
-<span class='va'>pred_sfo</span> <span class='op'>&lt;-</span> <span class='kw'>function</span><span class='op'>(</span><span class='va'>k</span><span class='op'>)</span> <span class='op'>{</span>
-  <span class='fu'><a href='mkinpredict.html'>mkinpredict</a></span><span class='op'>(</span><span class='va'>SFO</span>,
-    <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>k_parent <span class='op'>=</span> <span class='va'>k</span><span class='op'>)</span>,
-    <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span>parent <span class='op'>=</span> <span class='fl'>100</span><span class='op'>)</span>,
-    <span class='va'>sampling_times</span><span class='op'>)</span>
-<span class='op'>}</span>
-
-<span class='va'>ds_sfo_mean</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='va'>k_in</span>, <span class='va'>pred_sfo</span><span class='op'>)</span>
-<span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span><span class='op'>(</span><span class='va'>ds_sfo_mean</span><span class='op'>)</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span><span class='op'>(</span><span class='st'>"ds"</span>, <span class='fl'>1</span><span class='op'>:</span><span class='fl'>5</span><span class='op'>)</span>
-
-<span class='fu'><a href='https://rdrr.io/r/base/Random.html'>set.seed</a></span><span class='op'>(</span><span class='fl'>12345</span><span class='op'>)</span>
-<span class='va'>ds_sfo_syn</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span><span class='op'>(</span><span class='va'>ds_sfo_mean</span>, <span class='kw'>function</span><span class='op'>(</span><span class='va'>ds</span><span class='op'>)</span> <span class='op'>{</span>
-  <span class='fu'><a href='add_err.html'>add_err</a></span><span class='op'>(</span><span class='va'>ds</span>,
-    sdfunc <span class='op'>=</span> <span class='kw'>function</span><span class='op'>(</span><span class='va'>value</span><span class='op'>)</span> <span class='fu'><a href='https://rdrr.io/r/base/MathFun.html'>sqrt</a></span><span class='op'>(</span><span class='fl'>1</span><span class='op'>^</span><span class='fl'>2</span> <span class='op'>+</span> <span class='va'>value</span><span class='op'>^</span><span class='fl'>2</span> <span class='op'>*</span> <span class='fl'>0.07</span><span class='op'>^</span><span class='fl'>2</span><span class='op'>)</span>,
-    n <span class='op'>=</span> <span class='fl'>1</span><span class='op'>)</span><span class='op'>[[</span><span class='fl'>1</span><span class='op'>]</span><span class='op'>]</span>
-<span class='op'>}</span><span class='op'>)</span>
-
-<span class='co'># Evaluate using mmkin and nlme</span>
-<span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://svn.r-project.org/R-packages/trunk/nlme/'>nlme</a></span><span class='op'>)</span>
-<span class='va'>f_mmkin</span> <span class='op'>&lt;-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span><span class='op'>(</span><span class='st'>"SFO"</span>, <span class='va'>ds_sfo_syn</span>, quiet <span class='op'>=</span> <span class='cn'>TRUE</span>, error_model <span class='op'>=</span> <span class='st'>"tc"</span>, cores <span class='op'>=</span> <span class='fl'>1</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Optimisation did not converge:</span>
-#&gt; <span class='warning'>iteration limit reached without convergence (10)</span></div><div class='input'><span class='va'>f_nlme</span> <span class='op'>&lt;-</span> <span class='fu'><a href='https://rdrr.io/pkg/nlme/man/nlme.html'>nlme</a></span><span class='op'>(</span><span class='va'>f_mmkin</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; <span class='warning'>Warning: Iteration 4, LME step: nlminb() did not converge (code = 1). PORT message: false convergence (8)</span></div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/summary-methods.html'>summary</a></span><span class='op'>(</span><span class='va'>f_nlme</span>, data <span class='op'>=</span> <span class='cn'>TRUE</span><span class='op'>)</span>
-</div><div class='output co'>#&gt; nlme version used for fitting:      3.1.152 
-#&gt; mkin version used for pre-fitting:  1.0.3.9000 
-#&gt; R version used for fitting:         4.0.3 
-#&gt; Date of fit:     Mon Feb 15 17:13:12 2021 
-#&gt; Date of summary: Mon Feb 15 17:13:12 2021 
-#&gt; 
-#&gt; Equations:
-#&gt; d_parent/dt = - k_parent * parent
-#&gt; 
-#&gt; Data:
-#&gt; 90 observations of 1 variable(s) grouped in 5 datasets
-#&gt; 
-#&gt; Model predictions using solution type analytical 
-#&gt; 
-#&gt; Fitted in 0.544 s using 4 iterations
-#&gt; 
-#&gt; Variance model: Two-component variance function 
-#&gt; 
-#&gt; Mean of starting values for individual parameters:
-#&gt;     parent_0 log_k_parent 
-#&gt;      101.569       -4.454 
-#&gt; 
-#&gt; Fixed degradation parameter values:
-#&gt; None
-#&gt; 
-#&gt; Results:
-#&gt; 
-#&gt;     AIC   BIC logLik
-#&gt;   584.5 599.5 -286.2
-#&gt; 
-#&gt; Optimised, transformed parameters with symmetric confidence intervals:
-#&gt;               lower    est.   upper
-#&gt; parent_0     99.371 101.592 103.814
-#&gt; log_k_parent -4.973  -4.449  -3.926
-#&gt; 
-#&gt; Correlation: 
-#&gt;              prnt_0
-#&gt; log_k_parent 0.051 
-#&gt; 
-#&gt; Random effects:
-#&gt;  Formula: list(parent_0 ~ 1, log_k_parent ~ 1)
-#&gt;  Level: ds
-#&gt;  Structure: Diagonal
-#&gt;          parent_0 log_k_parent Residual
-#&gt; StdDev: 6.924e-05       0.5863        1
-#&gt; 
-#&gt; Variance function:
-#&gt;  Structure: Constant plus proportion of variance covariate
-#&gt;  Formula: ~fitted(.) 
-#&gt;  Parameter estimates:
-#&gt;        const         prop 
-#&gt; 0.0001208853 0.0789968036 
-#&gt; 
-#&gt; Backtransformed parameters with asymmetric confidence intervals:
-#&gt;              lower      est.     upper
-#&gt; parent_0 99.370882 101.59243 103.81398
-#&gt; k_parent  0.006923   0.01168   0.01972
-#&gt; 
-#&gt; Estimated disappearance times:
-#&gt;         DT50  DT90
-#&gt; parent 59.32 197.1
-#&gt; 
-#&gt; Data:
-#&gt;    ds   name time observed predicted  residual    std standardized
-#&gt;  ds 1 parent    0    104.1   101.592   2.50757 8.0255     0.312451
-#&gt;  ds 1 parent    0    105.0   101.592   3.40757 8.0255     0.424594
-#&gt;  ds 1 parent    1     98.5   100.796  -2.29571 7.9625    -0.288313
-#&gt;  ds 1 parent    1     96.1   100.796  -4.69571 7.9625    -0.589725
-#&gt;  ds 1 parent    3    101.9    99.221   2.67904 7.8381     0.341796
-#&gt;  ds 1 parent    3     85.2    99.221 -14.02096 7.8381    -1.788812
-#&gt;  ds 1 parent    7     99.1    96.145   2.95512 7.5951     0.389081
-#&gt;  ds 1 parent    7     93.0    96.145  -3.14488 7.5951    -0.414065
-#&gt;  ds 1 parent   14     88.1    90.989  -2.88944 7.1879    -0.401987
-#&gt;  ds 1 parent   14     84.1    90.989  -6.88944 7.1879    -0.958480
-#&gt;  ds 1 parent   28     80.2    81.493  -1.29305 6.4377    -0.200857
-#&gt;  ds 1 parent   28     91.3    81.493   9.80695 6.4377     1.523364
-#&gt;  ds 1 parent   60     65.1    63.344   1.75642 5.0039     0.351008
-#&gt;  ds 1 parent   60     65.8    63.344   2.45642 5.0039     0.490898
-#&gt;  ds 1 parent   90     47.8    50.018  -2.21764 3.9512    -0.561252
-#&gt;  ds 1 parent   90     53.5    50.018   3.48236 3.9512     0.881335
-#&gt;  ds 1 parent  120     37.6    39.495  -1.89515 3.1200    -0.607423
-#&gt;  ds 1 parent  120     39.3    39.495  -0.19515 3.1200    -0.062549
-#&gt;  ds 2 parent    0    107.9   101.592   6.30757 8.0255     0.785943
-#&gt;  ds 2 parent    0    102.1   101.592   0.50757 8.0255     0.063245
-#&gt;  ds 2 parent    1    103.8   100.058   3.74159 7.9043     0.473361
-#&gt;  ds 2 parent    1    108.6   100.058   8.54159 7.9043     1.080626
-#&gt;  ds 2 parent    3     91.0    97.060  -6.05952 7.6674    -0.790297
-#&gt;  ds 2 parent    3     84.9    97.060 -12.15952 7.6674    -1.585874
-#&gt;  ds 2 parent    7     79.3    91.329 -12.02867 7.2147    -1.667251
-#&gt;  ds 2 parent    7    100.9    91.329   9.57133 7.2147     1.326647
-#&gt;  ds 2 parent   14     77.3    82.102  -4.80185 6.4858    -0.740366
-#&gt;  ds 2 parent   14     83.5    82.102   1.39815 6.4858     0.215571
-#&gt;  ds 2 parent   28     66.8    66.351   0.44945 5.2415     0.085748
-#&gt;  ds 2 parent   28     63.3    66.351  -3.05055 5.2415    -0.582002
-#&gt;  ds 2 parent   60     40.8    40.775   0.02474 3.2211     0.007679
-#&gt;  ds 2 parent   60     44.8    40.775   4.02474 3.2211     1.249485
-#&gt;  ds 2 parent   90     27.8    25.832   1.96762 2.0407     0.964198
-#&gt;  ds 2 parent   90     27.0    25.832   1.16762 2.0407     0.572171
-#&gt;  ds 2 parent  120     15.2    16.366  -1.16561 1.2928    -0.901595
-#&gt;  ds 2 parent  120     15.5    16.366  -0.86561 1.2928    -0.669547
-#&gt;  ds 3 parent    0     97.7   101.592  -3.89243 8.0255    -0.485009
-#&gt;  ds 3 parent    0     88.2   101.592 -13.39243 8.0255    -1.668739
-#&gt;  ds 3 parent    1    109.9    99.218  10.68196 7.8379     1.362858
-#&gt;  ds 3 parent    1     97.8    99.218  -1.41804 7.8379    -0.180921
-#&gt;  ds 3 parent    3    100.5    94.634   5.86555 7.4758     0.784603
-#&gt;  ds 3 parent    3     77.4    94.634 -17.23445 7.4758    -2.305360
-#&gt;  ds 3 parent    7     78.3    86.093  -7.79273 6.8011    -1.145813
-#&gt;  ds 3 parent    7     90.3    86.093   4.20727 6.8011     0.618620
-#&gt;  ds 3 parent   14     76.0    72.958   3.04222 5.7634     0.527848
-#&gt;  ds 3 parent   14     79.1    72.958   6.14222 5.7634     1.065722
-#&gt;  ds 3 parent   28     46.0    52.394  -6.39404 4.1390    -1.544842
-#&gt;  ds 3 parent   28     53.4    52.394   1.00596 4.1390     0.243046
-#&gt;  ds 3 parent   60     25.1    24.582   0.51786 1.9419     0.266676
-#&gt;  ds 3 parent   60     21.4    24.582  -3.18214 1.9419    -1.638664
-#&gt;  ds 3 parent   90     11.0    12.092  -1.09202 0.9552    -1.143199
-#&gt;  ds 3 parent   90     14.2    12.092   2.10798 0.9552     2.206776
-#&gt;  ds 3 parent  120      5.8     5.948  -0.14810 0.4699    -0.315178
-#&gt;  ds 3 parent  120      6.1     5.948   0.15190 0.4699     0.323282
-#&gt;  ds 4 parent    0     95.3   101.592  -6.29243 8.0255    -0.784057
-#&gt;  ds 4 parent    0    102.0   101.592   0.40757 8.0255     0.050784
-#&gt;  ds 4 parent    1    104.4   101.125   3.27549 7.9885     0.410025
-#&gt;  ds 4 parent    1    105.4   101.125   4.27549 7.9885     0.535205
-#&gt;  ds 4 parent    3    113.7   100.195  13.50487 7.9151     1.706218
-#&gt;  ds 4 parent    3     82.3   100.195 -17.89513 7.9151    -2.260886
-#&gt;  ds 4 parent    7     98.1    98.362  -0.26190 7.7703    -0.033706
-#&gt;  ds 4 parent    7     87.8    98.362 -10.56190 7.7703    -1.359270
-#&gt;  ds 4 parent   14     97.9    95.234   2.66590 7.5232     0.354357
-#&gt;  ds 4 parent   14    104.8    95.234   9.56590 7.5232     1.271521
-#&gt;  ds 4 parent   28     85.0    89.274  -4.27372 7.0523    -0.606001
-#&gt;  ds 4 parent   28     77.2    89.274 -12.07372 7.0523    -1.712017
-#&gt;  ds 4 parent   60     82.2    77.013   5.18661 6.0838     0.852526
-#&gt;  ds 4 parent   60     86.1    77.013   9.08661 6.0838     1.493571
-#&gt;  ds 4 parent   90     70.5    67.053   3.44692 5.2970     0.650733
-#&gt;  ds 4 parent   90     61.7    67.053  -5.35308 5.2970    -1.010591
-#&gt;  ds 4 parent  120     60.0    58.381   1.61905 4.6119     0.351058
-#&gt;  ds 4 parent  120     56.4    58.381  -1.98095 4.6119    -0.429530
-#&gt;  ds 5 parent    0     92.6   101.592  -8.99243 8.0255    -1.120485
-#&gt;  ds 5 parent    0    116.5   101.592  14.90757 8.0255     1.857531
-#&gt;  ds 5 parent    1    108.0    99.914   8.08560 7.8929     1.024413
-#&gt;  ds 5 parent    1    104.9    99.914   4.98560 7.8929     0.631655
-#&gt;  ds 5 parent    3    100.5    96.641   3.85898 7.6343     0.505477
-#&gt;  ds 5 parent    3     89.5    96.641  -7.14102 7.6343    -0.935382
-#&gt;  ds 5 parent    7     91.7    90.412   1.28752 7.1423     0.180267
-#&gt;  ds 5 parent    7     95.1    90.412   4.68752 7.1423     0.656304
-#&gt;  ds 5 parent   14     82.2    80.463   1.73715 6.3563     0.273295
-#&gt;  ds 5 parent   14     84.5    80.463   4.03715 6.3563     0.635141
-#&gt;  ds 5 parent   28     60.5    63.728  -3.22788 5.0343    -0.641178
-#&gt;  ds 5 parent   28     72.8    63.728   9.07212 5.0343     1.802062
-#&gt;  ds 5 parent   60     38.3    37.399   0.90061 2.9544     0.304835
-#&gt;  ds 5 parent   60     40.7    37.399   3.30061 2.9544     1.117174
-#&gt;  ds 5 parent   90     22.5    22.692  -0.19165 1.7926    -0.106913
-#&gt;  ds 5 parent   90     20.8    22.692  -1.89165 1.7926    -1.055273
-#&gt;  ds 5 parent  120     13.4    13.768  -0.36790 1.0876    -0.338259
-#&gt;  ds 5 parent  120     13.8    13.768   0.03210 1.0876     0.029517</div><div class='input'>
-</div></pre>
+    <div id="ref-examples">
+    <h2>Examples</h2>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># Generate five datasets following SFO kinetics</span></span></span>
+<span class="r-in"><span><span class="va">sampling_times</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">28</span>, <span class="fl">60</span>, <span class="fl">90</span>, <span class="fl">120</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">dt50_sfo_in_pop</span> <span class="op">&lt;-</span> <span class="fl">50</span></span></span>
+<span class="r-in"><span><span class="va">k_in_pop</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">2</span><span class="op">)</span> <span class="op">/</span> <span class="va">dt50_sfo_in_pop</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1234</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">k_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="va">k_in_pop</span><span class="op">)</span>, <span class="fl">0.5</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">SFO</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">pred_sfo</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">k</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">SFO</span>,</span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k_parent <span class="op">=</span> <span class="va">k</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="va">sampling_times</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">ds_sfo_mean</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">k_in</span>, <span class="va">pred_sfo</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds_sfo_mean</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"ds"</span>, <span class="fl">1</span><span class="op">:</span><span class="fl">5</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">12345</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">ds_sfo_syn</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">ds_sfo_mean</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">ds</span>,</span></span>
+<span class="r-in"><span>    sdfunc <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="fl">1</span><span class="op">^</span><span class="fl">2</span> <span class="op">+</span> <span class="va">value</span><span class="op">^</span><span class="fl">2</span> <span class="op">*</span> <span class="fl">0.07</span><span class="op">^</span><span class="fl">2</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    n <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span></span></span>
+<span class="r-in"><span><span class="op">}</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="co"># Evaluate using mmkin and nlme</span></span></span>
+<span class="r-in"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://svn.r-project.org/R-packages/trunk/nlme/" class="external-link">nlme</a></span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_mmkin</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="st">"SFO"</span>, <span class="va">ds_sfo_syn</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Optimisation did not converge:</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> iteration limit reached without convergence (10)</span>
+<span class="r-in"><span><span class="va">f_nlme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/pkg/nlme/man/nlme.html" class="external-link">nlme</a></span><span class="op">(</span><span class="va">f_mmkin</span><span class="op">)</span></span></span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Iteration 4, LME step: nlminb() did not converge (code = 1). PORT message: false convergence (8)</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_nlme</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> nlme version used for fitting:      3.1.158 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for pre-fitting:  1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:         4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:27:32 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:27:32 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - k_parent * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90 observations of 1 variable(s) grouped in 5 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type analytical </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 0.534 s using 4 iterations</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model: Two-component variance function </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Mean of starting values for individual parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     parent_0 log_k_parent </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      101.569       -4.454 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed degradation parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> None</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     AIC   BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   584.5 599.5 -286.2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised, transformed parameters with symmetric confidence intervals:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>               lower    est.   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0     99.371 101.592 103.814</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent -4.973  -4.449  -3.926</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Correlation: </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              parnt_0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_parent 0.0507 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Random effects:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Formula: list(parent_0 ~ 1, log_k_parent ~ 1)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Level: ds</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Structure: Diagonal</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          parent_0 log_k_parent Residual</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> StdDev: 6.924e-05       0.5863        1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance function:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Structure: Constant plus proportion of variance covariate</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Formula: ~fitted(.) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Parameter estimates:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        const         prop </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.0001208853 0.0789968036 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters with asymmetric confidence intervals:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              lower      est.     upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 99.370882 101.59243 103.81398</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_parent  0.006923   0.01168   0.01972</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         DT50  DT90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent 59.32 197.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    ds   name time observed predicted  residual    std standardized</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    0    104.1   101.592   2.50757 8.0255     0.312451</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    0    105.0   101.592   3.40757 8.0255     0.424594</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    1     98.5   100.796  -2.29571 7.9625    -0.288313</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    1     96.1   100.796  -4.69571 7.9625    -0.589725</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    3    101.9    99.221   2.67904 7.8381     0.341796</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    3     85.2    99.221 -14.02096 7.8381    -1.788812</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    7     99.1    96.145   2.95512 7.5951     0.389081</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    7     93.0    96.145  -3.14488 7.5951    -0.414065</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   14     88.1    90.989  -2.88944 7.1879    -0.401987</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   14     84.1    90.989  -6.88944 7.1879    -0.958480</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   28     80.2    81.493  -1.29305 6.4377    -0.200857</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   28     91.3    81.493   9.80695 6.4377     1.523364</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   60     65.1    63.344   1.75642 5.0039     0.351008</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   60     65.8    63.344   2.45642 5.0039     0.490898</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   90     47.8    50.018  -2.21764 3.9512    -0.561252</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   90     53.5    50.018   3.48236 3.9512     0.881335</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent  120     37.6    39.495  -1.89515 3.1200    -0.607423</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent  120     39.3    39.495  -0.19515 3.1200    -0.062549</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    0    107.9   101.592   6.30757 8.0255     0.785943</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    0    102.1   101.592   0.50757 8.0255     0.063245</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    1    103.8   100.058   3.74159 7.9043     0.473361</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    1    108.6   100.058   8.54159 7.9043     1.080626</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    3     91.0    97.060  -6.05952 7.6674    -0.790297</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    3     84.9    97.060 -12.15952 7.6674    -1.585874</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    7     79.3    91.329 -12.02867 7.2147    -1.667251</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    7    100.9    91.329   9.57133 7.2147     1.326647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   14     77.3    82.102  -4.80185 6.4858    -0.740366</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   14     83.5    82.102   1.39815 6.4858     0.215571</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   28     66.8    66.351   0.44945 5.2415     0.085748</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   28     63.3    66.351  -3.05055 5.2415    -0.582002</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   60     40.8    40.775   0.02474 3.2211     0.007679</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   60     44.8    40.775   4.02474 3.2211     1.249485</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   90     27.8    25.832   1.96762 2.0407     0.964198</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   90     27.0    25.832   1.16762 2.0407     0.572171</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent  120     15.2    16.366  -1.16561 1.2928    -0.901595</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent  120     15.5    16.366  -0.86561 1.2928    -0.669547</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    0     97.7   101.592  -3.89243 8.0255    -0.485009</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    0     88.2   101.592 -13.39243 8.0255    -1.668739</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    1    109.9    99.218  10.68196 7.8379     1.362858</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    1     97.8    99.218  -1.41804 7.8379    -0.180921</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    3    100.5    94.634   5.86555 7.4758     0.784603</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    3     77.4    94.634 -17.23445 7.4758    -2.305360</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    7     78.3    86.093  -7.79273 6.8011    -1.145813</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    7     90.3    86.093   4.20727 6.8011     0.618620</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   14     76.0    72.958   3.04222 5.7634     0.527848</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   14     79.1    72.958   6.14222 5.7634     1.065722</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   28     46.0    52.394  -6.39404 4.1390    -1.544842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   28     53.4    52.394   1.00596 4.1390     0.243046</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   60     25.1    24.582   0.51786 1.9419     0.266676</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   60     21.4    24.582  -3.18214 1.9419    -1.638664</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   90     11.0    12.092  -1.09202 0.9552    -1.143199</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   90     14.2    12.092   2.10798 0.9552     2.206776</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent  120      5.8     5.948  -0.14810 0.4699    -0.315178</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent  120      6.1     5.948   0.15190 0.4699     0.323282</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    0     95.3   101.592  -6.29243 8.0255    -0.784057</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    0    102.0   101.592   0.40757 8.0255     0.050784</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    1    104.4   101.125   3.27549 7.9885     0.410025</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    1    105.4   101.125   4.27549 7.9885     0.535205</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    3    113.7   100.195  13.50487 7.9151     1.706218</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    3     82.3   100.195 -17.89513 7.9151    -2.260886</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    7     98.1    98.362  -0.26190 7.7703    -0.033706</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    7     87.8    98.362 -10.56190 7.7703    -1.359270</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   14     97.9    95.234   2.66590 7.5232     0.354357</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   14    104.8    95.234   9.56590 7.5232     1.271521</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   28     85.0    89.274  -4.27372 7.0523    -0.606001</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   28     77.2    89.274 -12.07372 7.0523    -1.712017</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   60     82.2    77.013   5.18661 6.0838     0.852526</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   60     86.1    77.013   9.08661 6.0838     1.493571</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   90     70.5    67.053   3.44692 5.2970     0.650733</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   90     61.7    67.053  -5.35308 5.2970    -1.010591</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent  120     60.0    58.381   1.61905 4.6119     0.351058</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent  120     56.4    58.381  -1.98095 4.6119    -0.429530</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    0     92.6   101.592  -8.99243 8.0255    -1.120485</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    0    116.5   101.592  14.90757 8.0255     1.857531</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    1    108.0    99.914   8.08560 7.8929     1.024413</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    1    104.9    99.914   4.98560 7.8929     0.631655</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    3    100.5    96.641   3.85898 7.6343     0.505477</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    3     89.5    96.641  -7.14102 7.6343    -0.935382</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    7     91.7    90.412   1.28752 7.1423     0.180267</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    7     95.1    90.412   4.68752 7.1423     0.656304</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   14     82.2    80.463   1.73715 6.3563     0.273295</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   14     84.5    80.463   4.03715 6.3563     0.635141</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   28     60.5    63.728  -3.22788 5.0343    -0.641178</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   28     72.8    63.728   9.07212 5.0343     1.802062</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   60     38.3    37.399   0.90061 2.9544     0.304835</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   60     40.7    37.399   3.30061 2.9544     1.117174</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   90     22.5    22.692  -0.19165 1.7926    -0.106913</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   90     20.8    22.692  -1.89165 1.7926    -1.055273</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent  120     13.4    13.768  -0.36790 1.0876    -0.338259</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent  120     13.8    13.768   0.03210 1.0876     0.029517</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span></span></span>
+</code></pre></div>
+    </div>
   </div>
   <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar">
-    <nav id="toc" data-toggle="toc" class="sticky-top">
-      <h2 data-toc-skip>Contents</h2>
-    </nav>
-  </div>
+    <nav id="toc" data-toggle="toc" class="sticky-top"><h2 data-toc-skip>Contents</h2>
+    </nav></div>
 </div>
 
 
-      <footer>
-      <div class="copyright">
-  <p>Developed by Johannes Ranke.</p>
+      <footer><div class="copyright">
+  <p></p><p>Developed by Johannes Ranke.</p>
 </div>
 
 <div class="pkgdown">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/">pkgdown</a> 1.6.1.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
-      </footer>
-   </div>
+      </footer></div>
 
   
 
 
-  </body>
-</html>
+  
 
+  </body></html>
 
diff --git a/docs/dev/reference/summary.saem.mmkin.html b/docs/dev/reference/summary.saem.mmkin.html
index febf25b4..6cab9c5f 100644
--- a/docs/dev/reference/summary.saem.mmkin.html
+++ b/docs/dev/reference/summary.saem.mmkin.html
@@ -21,7 +21,7 @@ endpoints such as formation fractions and DT50 values. Optionally
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.0</span>
+        <span class="version label label-info" data-toggle="tooltip" data-placement="bottom" title="In-development version">1.1.2</span>
       </span>
     </div>
 
@@ -30,7 +30,7 @@ endpoints such as formation fractions and DT50 values. Optionally
   <a href="../reference/index.html">Functions and data</a>
 </li>
 <li class="dropdown">
-  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" aria-expanded="false">
+  <a href="#" class="dropdown-toggle" data-toggle="dropdown" role="button" data-bs-toggle="dropdown" aria-expanded="false">
     Articles
      
     <span class="caret"></span>
@@ -45,6 +45,9 @@ endpoints such as formation fractions and DT50 values. Optionally
       <a href="../articles/FOCUS_L.html">Example evaluation of FOCUS Laboratory Data L1 to L3</a>
     </li>
     <li>
+      <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
+    </li>
+    <li>
       <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
     </li>
     <li>
@@ -92,59 +95,88 @@ endpoints such as formation fractions and DT50 values. Optionally
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="co"># S3 method for saem.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, data <span class="op">=</span> <span class="cn">FALSE</span>, verbose <span class="op">=</span> <span class="cn">FALSE</span>, distimes <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span>
-
-<span class="co"># S3 method for summary.saem.mmkin</span>
-<span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, verbose <span class="op">=</span> <span class="va">x</span><span class="op">$</span><span class="va">verbose</span>, <span class="va">...</span><span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="co"># S3 method for saem.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">object</span>, data <span class="op">=</span> <span class="cn">FALSE</span>, verbose <span class="op">=</span> <span class="cn">FALSE</span>, distimes <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for summary.saem.mmkin</span></span>
+<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, digits <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="fl">3</span>, <span class="fu"><a href="https://rdrr.io/r/base/options.html" class="external-link">getOption</a></span><span class="op">(</span><span class="st">"digits"</span><span class="op">)</span> <span class="op">-</span> <span class="fl">3</span><span class="op">)</span>, verbose <span class="op">=</span> <span class="va">x</span><span class="op">$</span><span class="va">verbose</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>object</dt>
 <dd><p>an object of class <a href="saem.html">saem.mmkin</a></p></dd>
+
+
 <dt>data</dt>
 <dd><p>logical, indicating whether the full data should be included in
 the summary.</p></dd>
+
+
 <dt>verbose</dt>
 <dd><p>Should the summary be verbose?</p></dd>
+
+
 <dt>distimes</dt>
 <dd><p>logical, indicating whether DT50 and DT90 values should be
 included.</p></dd>
+
+
 <dt>...</dt>
 <dd><p>optional arguments passed to methods like <code>print</code>.</p></dd>
+
+
 <dt>x</dt>
 <dd><p>an object of class summary.saem.mmkin</p></dd>
+
+
 <dt>digits</dt>
 <dd><p>Number of digits to use for printing</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>The summary function returns a list based on the <a href="https://rdrr.io/pkg/saemix/man/SaemixObject-class.html" class="external-link">saemix::SaemixObject</a>obtained in the fit, with at least the following additional components</p>
+    
+
+<p>The summary function returns a list based on the <a href="https://rdrr.io/pkg/saemix/man/SaemixObject-class.html" class="external-link">saemix::SaemixObject</a></p>
+
+
+<p>obtained in the fit, with at least the following additional components</p>
 <dl><dt>saemixversion, mkinversion, Rversion</dt>
 <dd><p>The saemix, mkin and R versions used</p></dd>
+
 <dt>date.fit, date.summary</dt>
 <dd><p>The dates where the fit and the summary were
 produced</p></dd>
+
 <dt>diffs</dt>
 <dd><p>The differential equations used in the degradation model</p></dd>
+
 <dt>use_of_ff</dt>
 <dd><p>Was maximum or minimum use made of formation fractions</p></dd>
+
 <dt>data</dt>
 <dd><p>The data</p></dd>
+
 <dt>confint_trans</dt>
 <dd><p>Transformed parameters as used in the optimisation, with confidence intervals</p></dd>
+
 <dt>confint_back</dt>
 <dd><p>Backtransformed parameters, with confidence intervals if available</p></dd>
+
 <dt>confint_errmod</dt>
 <dd><p>Error model parameters with confidence intervals</p></dd>
+
 <dt>ff</dt>
 <dd><p>The estimated formation fractions derived from the fitted
 model.</p></dd>
+
 <dt>distimes</dt>
 <dd><p>The DT50 and DT90 values for each observed variable.</p></dd>
+
 <dt>SFORB</dt>
 <dd><p>If applicable, eigenvalues of SFORB components of the model.</p></dd>
+
 </dl><p>The print method is called for its side effect, i.e. printing the summary.</p>
     </div>
     <div id="author">
@@ -155,50 +187,366 @@ saemix authors for the parts inherited from saemix.</p>
 
     <div id="ref-examples">
     <h2>Examples</h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="co"># Generate five datasets following DFOP-SFO kinetics</span></span>
-<span class="r-in"><span class="va">sampling_times</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">28</span>, <span class="fl">60</span>, <span class="fl">90</span>, <span class="fl">120</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span>
-<span class="r-in"> m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1234</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">k1_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">0.1</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">k2_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">0.02</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">g_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">plogis</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">qlogis</a></span><span class="op">(</span><span class="fl">0.5</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_parent_to_m1_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">plogis</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">qlogis</a></span><span class="op">(</span><span class="fl">0.3</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">k_m1_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">0.02</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">pred_dfop_sfo</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">k1</span>, <span class="va">k2</span>, <span class="va">g</span>, <span class="va">f_parent_to_m1</span>, <span class="va">k_m1</span><span class="op">)</span> <span class="op">{</span></span>
-<span class="r-in">  <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">dfop_sfo</span>,</span>
-<span class="r-in">    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k1 <span class="op">=</span> <span class="va">k1</span>, k2 <span class="op">=</span> <span class="va">k2</span>, g <span class="op">=</span> <span class="va">g</span>, f_parent_to_m1 <span class="op">=</span> <span class="va">f_parent_to_m1</span>, k_m1 <span class="op">=</span> <span class="va">k_m1</span><span class="op">)</span>,</span>
-<span class="r-in">    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, m1 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span>
-<span class="r-in">    <span class="va">sampling_times</span><span class="op">)</span></span>
-<span class="r-in"><span class="op">}</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">ds_mean_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">5</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span></span>
-<span class="r-in">  <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">dfop_sfo</span>,</span>
-<span class="r-in">    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k1 <span class="op">=</span> <span class="va">k1_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>, k2 <span class="op">=</span> <span class="va">k2_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>, g <span class="op">=</span> <span class="va">g_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>,</span>
-<span class="r-in">      f_parent_to_m1 <span class="op">=</span> <span class="va">f_parent_to_m1_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>, k_m1 <span class="op">=</span> <span class="va">k_m1_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span><span class="op">)</span>,</span>
-<span class="r-in">    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, m1 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span>
-<span class="r-in">    <span class="va">sampling_times</span><span class="op">)</span></span>
-<span class="r-in"><span class="op">}</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds_mean_dfop_sfo</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"ds"</span>, <span class="fl">1</span><span class="op">:</span><span class="fl">5</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="va">ds_syn_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">ds_mean_dfop_sfo</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">{</span></span>
-<span class="r-in">  <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">ds</span>,</span>
-<span class="r-in">    sdfunc <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="fl">1</span><span class="op">^</span><span class="fl">2</span> <span class="op">+</span> <span class="va">value</span><span class="op">^</span><span class="fl">2</span> <span class="op">*</span> <span class="fl">0.07</span><span class="op">^</span><span class="fl">2</span><span class="op">)</span>,</span>
-<span class="r-in">    n <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span></span>
-<span class="r-in"><span class="op">}</span><span class="op">)</span></span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># \dontrun{</span></span>
-<span class="r-in"><span class="co"># Evaluate using mmkin and saem</span></span>
-<span class="r-in"><span class="va">f_mmkin_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">dfop_sfo</span><span class="op">)</span>, <span class="va">ds_syn_dfop_sfo</span>,</span>
-<span class="r-in">  quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>, cores <span class="op">=</span> <span class="fl">5</span><span class="op">)</span></span>
-<span class="r-in"><span class="va">f_saem_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="saem.html">saem</a></span><span class="op">(</span><span class="va">f_mmkin_dfop_sfo</span><span class="op">)</span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>  </span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in rxModelVars_(obj):</span> Not compatible with STRSXP: [type=NULL].</span>
-<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'object' in selecting a method for function 'summary': object 'f_saem_dfop_sfo' not found</span>
-<span class="r-in"><span class="co"># }</span></span>
-<span class="r-in"></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co"># Generate five datasets following DFOP-SFO kinetics</span></span></span>
+<span class="r-in"><span><span class="va">sampling_times</span> <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">3</span>, <span class="fl">7</span>, <span class="fl">14</span>, <span class="fl">28</span>, <span class="fl">60</span>, <span class="fl">90</span>, <span class="fl">120</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinmod.html">mkinmod</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"DFOP"</span>, <span class="st">"m1"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span> m1 <span class="op">=</span> <span class="fu"><a href="mkinmod.html">mkinsub</a></span><span class="op">(</span><span class="st">"SFO"</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">1234</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">k1_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">0.1</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">k2_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">0.02</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">g_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">plogis</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">qlogis</a></span><span class="op">(</span><span class="fl">0.5</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_parent_to_m1_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">plogis</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/stats/Logistic.html" class="external-link">qlogis</a></span><span class="op">(</span><span class="fl">0.3</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">k_m1_in</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/Lognormal.html" class="external-link">rlnorm</a></span><span class="op">(</span><span class="fl">5</span>, <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">0.02</span><span class="op">)</span>, <span class="fl">0.3</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">pred_dfop_sfo</span> <span class="op">&lt;-</span> <span class="kw">function</span><span class="op">(</span><span class="va">k1</span>, <span class="va">k2</span>, <span class="va">g</span>, <span class="va">f_parent_to_m1</span>, <span class="va">k_m1</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">dfop_sfo</span>,</span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k1 <span class="op">=</span> <span class="va">k1</span>, k2 <span class="op">=</span> <span class="va">k2</span>, g <span class="op">=</span> <span class="va">g</span>, f_parent_to_m1 <span class="op">=</span> <span class="va">f_parent_to_m1</span>, k_m1 <span class="op">=</span> <span class="va">k_m1</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, m1 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="va">sampling_times</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">ds_mean_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">5</span>, <span class="kw">function</span><span class="op">(</span><span class="va">i</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="mkinpredict.html">mkinpredict</a></span><span class="op">(</span><span class="va">dfop_sfo</span>,</span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>k1 <span class="op">=</span> <span class="va">k1_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>, k2 <span class="op">=</span> <span class="va">k2_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>, g <span class="op">=</span> <span class="va">g_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>,</span></span>
+<span class="r-in"><span>      f_parent_to_m1 <span class="op">=</span> <span class="va">f_parent_to_m1_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span>, k_m1 <span class="op">=</span> <span class="va">k_m1_in</span><span class="op">[</span><span class="va">i</span><span class="op">]</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span>parent <span class="op">=</span> <span class="fl">100</span>, m1 <span class="op">=</span> <span class="fl">0</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    <span class="va">sampling_times</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="op">}</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/names.html" class="external-link">names</a></span><span class="op">(</span><span class="va">ds_mean_dfop_sfo</span><span class="op">)</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="st">"ds"</span>, <span class="fl">1</span><span class="op">:</span><span class="fl">5</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">ds_syn_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="va">ds_mean_dfop_sfo</span>, <span class="kw">function</span><span class="op">(</span><span class="va">ds</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="add_err.html">add_err</a></span><span class="op">(</span><span class="va">ds</span>,</span></span>
+<span class="r-in"><span>    sdfunc <span class="op">=</span> <span class="kw">function</span><span class="op">(</span><span class="va">value</span><span class="op">)</span> <span class="fu"><a href="https://rdrr.io/r/base/MathFun.html" class="external-link">sqrt</a></span><span class="op">(</span><span class="fl">1</span><span class="op">^</span><span class="fl">2</span> <span class="op">+</span> <span class="va">value</span><span class="op">^</span><span class="fl">2</span> <span class="op">*</span> <span class="fl">0.07</span><span class="op">^</span><span class="fl">2</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>    n <span class="op">=</span> <span class="fl">1</span><span class="op">)</span><span class="op">[[</span><span class="fl">1</span><span class="op">]</span><span class="op">]</span></span></span>
+<span class="r-in"><span><span class="op">}</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co"># \dontrun{</span></span></span>
+<span class="r-in"><span><span class="co"># Evaluate using mmkin and saem</span></span></span>
+<span class="r-in"><span><span class="va">f_mmkin_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="mmkin.html">mmkin</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="va">dfop_sfo</span><span class="op">)</span>, <span class="va">ds_syn_dfop_sfo</span>,</span></span>
+<span class="r-in"><span>  quiet <span class="op">=</span> <span class="cn">TRUE</span>, error_model <span class="op">=</span> <span class="st">"tc"</span>, cores <span class="op">=</span> <span class="fl">5</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">f_saem_dfop_sfo</span> <span class="op">&lt;-</span> <span class="fu"><a href="saem.html">saem</a></span><span class="op">(</span><span class="va">f_mmkin_dfop_sfo</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Kinetic nonlinear mixed-effects model fit by SAEM</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Structural model:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            exp(-k2 * time))) * parent - k_m1 * m1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 171 observations of 2 variable(s) grouped in 5 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood computed by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     AIC   BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   828.1 822.7 -400.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                     estimate    lower     upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0           100.74378 97.81291 103.67465</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1            -4.06168 -4.17104  -3.95231</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis     -0.92584 -1.31273  -0.53894</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1              -2.81914 -3.60206  -2.03623</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2              -3.63916 -4.32672  -2.95161</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis            -0.02927 -1.15247   1.09394</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1                  0.86164  0.67928   1.04400</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b.1                  0.07973  0.06437   0.09509</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.parent_0          0.73313 -7.46512   8.93137</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k_m1          0.06488 -0.06041   0.19017</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_parent_qlogis   0.41955  0.15206   0.68705</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k1            0.81750  0.29140   1.34361</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k2            0.75265  0.27939   1.22590</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.g_qlogis          0.34411 -1.70964   2.39786</span>
+<span class="r-in"><span><span class="fu"><a href="illparms.html">illparms</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] "sd(parent_0)" "sd(log_k_m1)" "sd(g_qlogis)"</span>
+<span class="r-in"><span><span class="va">f_saem_dfop_sfo_2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo</span>, covariance.model <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/diag.html" class="external-link">diag</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>, <span class="fl">0</span>, <span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">1</span>, <span class="fl">0</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="illparms.html">illparms</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo_2</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> character(0)</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/nlme/man/intervals.html" class="external-link">intervals</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo_2</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Approximate 95% confidence intervals</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Fixed effects:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      lower         est.        upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0       97.54844979 100.46239264 103.37633550</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_m1            0.01575805   0.01729111   0.01897331</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_to_m1  0.21014925   0.28626877   0.37680664</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k1              0.02651112   0.05601399   0.11834908</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k2              0.01326524   0.02649799   0.05293107</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g               0.31467778   0.51297098   0.70726363</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  Random effects:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                         lower      est.     upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sd(f_parent_qlogis) 0.1658367 0.4471180 0.7283993</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sd(log_k1)          0.2768757 0.7929203 1.3089649</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> sd(log_k2)          0.2693629 0.7566116 1.2438602</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          lower       est.      upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1 0.70273100 0.88750764 1.07228428</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b.1 0.06781347 0.08328016 0.09874685</span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/summary-methods.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">f_saem_dfop_sfo_2</span>, data <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> saemix version used for fitting:      3.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> mkin version used for pre-fitting:  1.1.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> R version used for fitting:         4.2.1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of fit:     Wed Aug 10 15:28:15 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Date of summary: Wed Aug 10 15:28:15 2022 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Equations:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * parent</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            exp(-k2 * time))) * parent - k_m1 * m1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 171 observations of 2 variable(s) grouped in 5 datasets</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Model predictions using solution type analytical </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fitted in 27.674 s</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Using 300, 100 iterations and 10 chains</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model: Two-component variance function </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Mean of starting values for individual parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       101.65645        -4.05368        -0.94311        -2.35943        -4.07006 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        g_qlogis </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        -0.01132 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Fixed degradation parameter values:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> None</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Results:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Likelihood computed by importance sampling</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     AIC   BIC logLik</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   825.6 821.3 -401.8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Optimised parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                     est.   lower    upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0        100.4624 97.5484 103.3763</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1         -4.0576 -4.1504  -3.9647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis  -0.9136 -1.3240  -0.5031</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1           -2.8822 -3.6302  -2.1341</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2           -3.6307 -4.3226  -2.9388</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis          0.0519 -0.7783   0.8821</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Correlation: </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 parnt_0 lg_k_m1 f_prnt_ log_k1  log_k2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k_m1        -0.4102                                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_qlogis -0.2113  0.2439                        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k1           0.1308 -0.1305 -0.0504                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> log_k2          -0.0383  0.0592  0.0151  0.0001        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis        -0.0029 -0.0118  0.0131 -0.2547 -0.1942</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Random effects:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      est.  lower  upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.f_parent_qlogis 0.4471 0.1658 0.7284</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k1          0.7929 0.2769 1.3090</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> SD.log_k2          0.7566 0.2694 1.2439</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Variance model:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        est.   lower   upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a.1 0.88751 0.70273 1.07228</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b.1 0.08328 0.06781 0.09875</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Backtransformed parameters:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                     est.    lower     upper</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0       100.46239 97.54845 103.37634</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k_m1             0.01729  0.01576   0.01897</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> f_parent_to_m1   0.28627  0.21015   0.37681</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k1               0.05601  0.02651   0.11835</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> k2               0.02650  0.01327   0.05293</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g                0.51297  0.31468   0.70726</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Resulting formation fractions:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 ff</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_m1   0.2863</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_sink 0.7137</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Estimated disappearance times:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         DT50   DT90 DT50back DT50_k1 DT50_k2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent 17.44  65.15    19.61   12.37   26.16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> m1     40.09 133.17       NA      NA      NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Data:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>    ds   name time observed  predicted   residual    std standardized</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    0     89.8  1.005e+02 -10.662393 8.4135    -1.267301</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    0    104.1  1.005e+02   3.637607 8.4135     0.432355</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    1     88.7  9.576e+01  -7.063498 8.0244    -0.880249</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    1     95.5  9.576e+01  -0.263498 8.0244    -0.032837</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    3     81.8  8.717e+01  -5.369491 7.3135    -0.734185</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    3     94.5  8.717e+01   7.330509 7.3135     1.002320</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    7     71.5  7.274e+01  -1.238672 6.1224    -0.202319</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent    7     70.3  7.274e+01  -2.438672 6.1224    -0.398322</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   14     54.2  5.418e+01   0.022691 4.5984     0.004935</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   14     49.6  5.418e+01  -4.577309 4.5984    -0.995423</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   28     31.5  3.241e+01  -0.914545 2.8416    -0.321837</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   28     28.8  3.241e+01  -3.614545 2.8416    -1.271993</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   60     12.1  1.283e+01  -0.730904 1.3891    -0.526186</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   60     13.6  1.283e+01   0.769096 1.3891     0.553681</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   90      6.2  6.128e+00   0.071981 1.0238     0.070309</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent   90      8.3  6.128e+00   2.171981 1.0238     2.121538</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent  120      2.2  3.022e+00  -0.822164 0.9225    -0.891230</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1 parent  120      2.4  3.022e+00  -0.622164 0.9225    -0.674429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1    1      0.3  1.163e+00  -0.863423 0.8928    -0.967116</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1    1      0.2  1.163e+00  -0.963423 0.8928    -1.079126</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1    3      2.2  3.233e+00  -1.032930 0.9274    -1.113734</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1    3      3.0  3.233e+00  -0.232930 0.9274    -0.251152</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1    7      6.5  6.495e+00   0.005314 1.0393     0.005113</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1    7      5.0  6.495e+00  -1.494686 1.0393    -1.438116</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   14     10.2  1.010e+01   0.096372 1.2230     0.078801</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   14      9.5  1.010e+01  -0.603628 1.2230    -0.493572</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   28     12.2  1.269e+01  -0.492073 1.3802    -0.356526</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   28     13.4  1.269e+01   0.707927 1.3802     0.512922</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   60     11.8  1.086e+01   0.944360 1.2669     0.745420</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   60     13.2  1.086e+01   2.344360 1.2669     1.850494</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   90      6.6  7.723e+00  -1.123088 1.0961    -1.024658</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1   90      9.3  7.723e+00   1.576912 1.0961     1.438708</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1  120      3.5  5.184e+00  -1.683936 0.9869    -1.706219</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 1     m1  120      5.4  5.184e+00   0.216064 0.9869     0.218923</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    0    118.0  1.005e+02  17.537607 8.4135     2.084469</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    0     99.8  1.005e+02  -0.662393 8.4135    -0.078730</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    1     90.2  9.566e+01  -5.456414 8.0156    -0.680727</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    1     94.6  9.566e+01  -1.056414 8.0156    -0.131795</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    3     96.1  8.702e+01   9.082833 7.3009     1.244062</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    3     78.4  8.702e+01  -8.617167 7.3009    -1.180281</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    7     77.9  7.298e+01   4.919834 6.1423     0.800981</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent    7     77.7  7.298e+01   4.719834 6.1423     0.768420</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   14     56.0  5.588e+01   0.124003 4.7372     0.026176</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   14     54.7  5.588e+01  -1.175997 4.7372    -0.248245</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   28     36.6  3.719e+01  -0.587869 3.2217    -0.182474</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   28     36.8  3.719e+01  -0.387869 3.2217    -0.120394</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   60     22.1  2.013e+01   1.973728 1.8966     1.040673</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   60     24.7  2.013e+01   4.573728 1.8966     2.411556</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   90     12.4  1.259e+01  -0.185933 1.3734    -0.135379</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent   90     10.8  1.259e+01  -1.785933 1.3734    -1.300347</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent  120      6.8  7.981e+00  -1.180542 1.1088    -1.064723</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2 parent  120      7.9  7.981e+00  -0.080542 1.1088    -0.072640</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1    1      1.3  1.306e+00  -0.006246 0.8941    -0.006986</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1    3      3.7  3.589e+00   0.110879 0.9365     0.118399</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1    3      4.7  3.589e+00   1.110879 0.9365     1.186217</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1    7      8.1  7.062e+00   1.038045 1.0647     0.974978</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1    7      7.9  7.062e+00   0.838045 1.0647     0.787129</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   14     10.1  1.065e+01  -0.553713 1.2549    -0.441227</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   14     10.3  1.065e+01  -0.353713 1.2549    -0.281857</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   28     10.7  1.284e+01  -2.144854 1.3900    -1.543111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   28     12.2  1.284e+01  -0.644854 1.3900    -0.463939</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   60     10.7  1.082e+01  -0.115278 1.2645    -0.091165</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   60     12.5  1.082e+01   1.684722 1.2645     1.332337</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   90      9.1  8.014e+00   1.085607 1.1105     0.977610</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1   90      7.4  8.014e+00  -0.614393 1.1105    -0.553272</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1  120      6.1  5.736e+00   0.363593 1.0079     0.360737</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 2     m1  120      4.5  5.736e+00  -1.236407 1.0079    -1.226697</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    0    106.2  1.005e+02   5.737607 8.4135     0.681955</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    0    106.9  1.005e+02   6.437607 8.4135     0.765155</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    1    107.4  9.343e+01  13.972212 7.8311     1.784188</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    1     96.1  9.343e+01   2.672212 7.8311     0.341229</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    3     79.4  8.160e+01  -2.196297 6.8531    -0.320484</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    3     82.6  8.160e+01   1.003703 6.8531     0.146460</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    7     63.9  6.464e+01  -0.737220 5.4557    -0.135129</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent    7     62.4  6.464e+01  -2.237220 5.4557    -0.410072</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   14     51.0  4.772e+01   3.278433 4.0722     0.805086</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   14     47.1  4.772e+01  -0.621567 4.0722    -0.152638</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   28     36.1  3.303e+01   3.070676 2.8903     1.062400</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   28     36.6  3.303e+01   3.570676 2.8903     1.235391</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   60     20.1  1.929e+01   0.808039 1.8355     0.440235</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   60     19.8  1.929e+01   0.508039 1.8355     0.276789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   90     11.3  1.209e+01  -0.794443 1.3425    -0.591785</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent   90     10.7  1.209e+01  -1.394443 1.3425    -1.038728</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent  120      8.2  7.590e+00   0.610002 1.0896     0.559843</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3 parent  120      7.3  7.590e+00  -0.289998 1.0896    -0.266152</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    0      0.8 -4.263e-14   0.800000 0.8875     0.901401</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    1      1.8  1.692e+00   0.107665 0.8986     0.119811</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    1      2.3  1.692e+00   0.607665 0.8986     0.676214</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    3      4.2  4.455e+00  -0.255347 0.9619    -0.265449</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    3      4.1  4.455e+00  -0.355347 0.9619    -0.369404</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    7      6.8  8.124e+00  -1.324338 1.1160    -1.186685</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1    7     10.1  8.124e+00   1.975662 1.1160     1.770309</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   14     11.4  1.104e+01   0.361860 1.2778     0.283196</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   14     12.8  1.104e+01   1.761860 1.2778     1.378852</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   28     11.5  1.177e+01  -0.272554 1.3225    -0.206097</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   28     10.6  1.177e+01  -1.172554 1.3225    -0.886648</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   60      7.5  9.242e+00  -1.741667 1.1747    -1.482591</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   60      8.6  9.242e+00  -0.641667 1.1747    -0.546218</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   90      7.3  6.837e+00   0.463318 1.0544     0.439398</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1   90      8.1  6.837e+00   1.263318 1.0544     1.198095</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1  120      5.3  4.906e+00   0.394322 0.9770     0.403595</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 3     m1  120      3.8  4.906e+00  -1.105678 0.9770    -1.131677</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    0    104.7  1.005e+02   4.237607 8.4135     0.503670</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    0     88.3  1.005e+02 -12.162393 8.4135    -1.445587</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    1     94.2  9.723e+01  -3.029220 8.1458    -0.371877</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    1     94.6  9.723e+01  -2.629220 8.1458    -0.322772</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    3     78.1  9.114e+01 -13.041804 7.6420    -1.706592</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    3     96.5  9.114e+01   5.358196 7.6420     0.701150</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    7     76.2  8.033e+01  -4.133084 6.7488    -0.612421</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent    7     77.8  8.033e+01  -2.533084 6.7488    -0.375340</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   14     70.8  6.504e+01   5.757987 5.4889     1.049017</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   14     67.3  6.504e+01   2.257987 5.4889     0.411371</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   28     43.1  4.418e+01  -1.080806 3.7849    -0.285557</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   28     45.1  4.418e+01   0.919194 3.7849     0.242858</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   60     21.3  2.110e+01   0.200596 1.9686     0.101899</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   60     23.5  2.110e+01   2.400596 1.9686     1.219459</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   90     11.8  1.183e+01  -0.034206 1.3263    -0.025791</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent   90     12.1  1.183e+01   0.265794 1.3263     0.200408</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent  120      7.0  6.985e+00   0.014647 1.0612     0.013803</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4 parent  120      6.2  6.985e+00  -0.785353 1.0612    -0.740078</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1    0      1.6 -1.705e-13   1.600000 0.8875     1.802801</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1    1      0.9  6.803e-01   0.219655 0.8893     0.246994</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1    3      3.7  1.927e+00   1.773027 0.9019     1.965880</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1    3      2.0  1.927e+00   0.073027 0.9019     0.080970</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1    7      3.6  4.013e+00  -0.412926 0.9483    -0.435417</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1    7      3.8  4.013e+00  -0.212926 0.9483    -0.224523</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   14      7.1  6.604e+00   0.495843 1.0441     0.474896</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   14      6.6  6.604e+00  -0.004157 1.0441    -0.003981</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   28      9.5  9.077e+00   0.422700 1.1658     0.362576</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   28      9.3  9.077e+00   0.222700 1.1658     0.191024</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   60      8.3  8.818e+00  -0.518498 1.1520    -0.450099</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   60      9.0  8.818e+00   0.181502 1.1520     0.157559</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   90      6.6  6.738e+00  -0.137785 1.0500    -0.131222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1   90      7.7  6.738e+00   0.962215 1.0500     0.916383</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1  120      3.7  4.794e+00  -1.093754 0.9732    -1.123914</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 4     m1  120      3.5  4.794e+00  -1.293754 0.9732    -1.329429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    0    110.4  1.005e+02   9.937607 8.4135     1.181155</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    0    112.1  1.005e+02  11.637607 8.4135     1.383212</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    1     93.5  9.372e+01  -0.215694 7.8550    -0.027460</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    1     91.0  9.372e+01  -2.715694 7.8550    -0.345730</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    3     71.0  8.226e+01 -11.257156 6.9076    -1.629667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    3     89.7  8.226e+01   7.442844 6.9076     1.077480</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    7     60.4  6.553e+01  -5.128464 5.5289    -0.927571</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent    7     59.1  6.553e+01  -6.428464 5.5289    -1.162699</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   14     56.5  4.835e+01   8.146351 4.1235     1.975572</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   14     47.0  4.835e+01  -1.353649 4.1235    -0.328273</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   28     30.2  3.300e+01  -2.803303 2.8883    -0.970586</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   28     23.9  3.300e+01  -9.103303 2.8883    -3.151832</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   60     17.0  1.891e+01  -1.905909 1.8074    -1.054506</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   60     18.7  1.891e+01  -0.205909 1.8074    -0.113926</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   90     11.3  1.172e+01  -0.423434 1.3194    -0.320923</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent   90     11.9  1.172e+01   0.176566 1.3194     0.133820</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent  120      9.0  7.281e+00   1.719138 1.0749     1.599402</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5 parent  120      8.1  7.281e+00   0.819138 1.0749     0.762086</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    0      0.7 -2.842e-13   0.700000 0.8875     0.788726</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    1      3.0  3.252e+00  -0.252227 0.9279    -0.271821</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    1      2.6  3.252e+00  -0.652227 0.9279    -0.702895</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    3      5.1  8.615e+00  -3.515326 1.1413    -3.080237</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    3      7.5  8.615e+00  -1.115326 1.1413    -0.977283</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    7     16.5  1.588e+01   0.619041 1.5928     0.388661</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1    7     19.0  1.588e+01   3.119041 1.5928     1.958272</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   14     22.9  2.189e+01   1.014705 2.0272     0.500543</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   14     23.2  2.189e+01   1.314705 2.0272     0.648529</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   28     22.2  2.369e+01  -1.487604 2.1632    -0.687701</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   28     24.4  2.369e+01   0.712396 2.1632     0.329332</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   60     15.5  1.869e+01  -3.193942 1.7920    -1.782295</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   60     19.8  1.869e+01   1.106058 1.7920     0.617206</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   90     14.9  1.380e+01   1.103454 1.4518     0.760041</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1   90     14.2  1.380e+01   0.403454 1.4518     0.277892</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1  120     10.9  9.864e+00   1.035963 1.2093     0.856637</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  ds 5     m1  120     10.4  9.864e+00   0.535963 1.2093     0.443187</span>
+<span class="r-in"><span><span class="co"># }</span></span></span>
+<span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
   </div>
@@ -213,7 +561,7 @@ saemix authors for the parts inherited from saemix.</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
       </footer></div>
diff --git a/docs/dev/sitemap.xml b/docs/dev/sitemap.xml
index 77355cd5..fde124d6 100644
--- a/docs/dev/sitemap.xml
+++ b/docs/dev/sitemap.xml
@@ -103,6 +103,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/confint.mkinfit.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/convergence.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/create_deg_func.html</loc>
   </url>
   <url>
@@ -124,6 +127,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/get_deg_func.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/illparms.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/ilr.html</loc>
   </url>
   <url>
@@ -157,6 +163,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/mean_degparms.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/mhmkin.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/mixed.html</loc>
   </url>
   <url>
@@ -250,6 +259,9 @@
     <loc>https://pkgdown.jrwb.de/mkin/reference/summary.mkinfit.html</loc>
   </url>
   <url>
+    <loc>https://pkgdown.jrwb.de/mkin/reference/summary.mmkin.html</loc>
+  </url>
+  <url>
     <loc>https://pkgdown.jrwb.de/mkin/reference/summary.nlme.mmkin.html</loc>
   </url>
   <url>
diff --git a/vignettes/web_only/mkin_benchmarks.rda b/vignettes/web_only/mkin_benchmarks.rda
index 14ae6346..05297c01 100644
--- a/vignettes/web_only/mkin_benchmarks.rda
+++ b/vignettes/web_only/mkin_benchmarks.rda
author	Johannes Ranke <jranke@uni-bremen.de>	2022-08-10 16:04:48 +0200
committer	Johannes Ranke <jranke@uni-bremen.de>	2022-08-10 16:04:48 +0200
commit	fcef764f3688b01a4c6e92915ed68c5e54bc165f (patch)
tree	7d5f0b43485d2e99e1e0ea999d0ce47b6914839d
parent	bc8ce24677e953e003f7904564b7767537e01ca2 (diff)
parent	6178249bbb5e9de7cb7f34287ee7de28a68fed6c (diff)