Prepare release of v1.2.4v1.2.4

- Update DESCRIPTION
- Update Makefile to document how to use R-patched
- Remove markup from two URLs to avoid CRAN NOTE
- Switch two vignettes from html_document to html_vignette to save space
  in the docs directory, also avoiding a CRAN NOTE
- Complete rebuild of pkgdown docs for release

1 files changed, 75 insertions, 75 deletions

diff --git a/docs/articles/FOCUS_L.html b/docs/articles/FOCUS_L.html
index e47ed9d7..dabb16f2 100644
--- a/docs/articles/FOCUS_L.html
+++ b/docs/articles/FOCUS_L.html
@@ -33,7 +33,7 @@
       </button>
       <span class="navbar-brand">
         <a class="navbar-link" href="../index.html">mkin</a>
-        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.3</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.4</span>
       </span>
     </div>
 
@@ -134,8 +134,8 @@ to L3</h1>
                         <h4 data-toc-skip class="author">Johannes
 Ranke</h4>
             
-            <h4 data-toc-skip class="date">Last change 18 May 2022
-(rebuilt 2023-04-20)</h4>
+            <h4 data-toc-skip class="date">Last change 18 May 2023
+(rebuilt 2023-05-19)</h4>
       
       <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>
@@ -169,10 +169,10 @@ report.</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <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:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:15 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:15 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:25 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:25 2023 </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>
@@ -276,17 +276,17 @@ objects.</p>
 <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</span></span>
 <span><span class="co">## is doubtful</span></span></code></pre>
-<pre><code><span><span class="co">## mkin version used for fitting:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:16 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:16 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:25 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:25 2023 </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 0.025 s</span></span>
+<span><span class="co">## Fitted using 342 model solutions performed in 0.021 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>
@@ -314,22 +314,22 @@ objects.</p>
 <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">##        AIC      BIC    logLik</span></span>
+<span><span class="co">##   95.88782 99.44931 -43.94391</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">## log_alpha    13.20        NaN    NaN    NaN</span></span>
+<span><span class="co">## log_beta     15.54        NaN    NaN    NaN</span></span>
+<span><span class="co">## sigma         2.78     0.4607  1.792  3.768</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">##           parent_0 log_alpha log_beta    sigma</span></span>
+<span><span class="co">## parent_0  1.000000       NaN      NaN 0.000603</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     0.000603       NaN      NaN 1.000000</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>
@@ -337,9 +337,9 @@ objects.</p>
 <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">## alpha    5.386e+05      NA     NA     NA     NA</span></span>
+<span><span class="co">## beta     5.633e+06      NA     NA     NA     NA</span></span>
+<span><span class="co">## sigma    2.780e+00      NA     NA  1.792  3.768</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>
@@ -347,8 +347,8 @@ objects.</p>
 <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>
+<span><span class="co">##         DT50  DT90 DT50back</span></span>
+<span><span class="co">## parent 7.249 24.08    7.249</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
@@ -427,17 +427,17 @@ kinetics.</p>
 <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><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:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:16 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:16 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:25 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:25 2023 </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 0.015 s</span></span>
+<span><span class="co">## Fitted using 239 model solutions performed in 0.013 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>
@@ -472,10 +472,10 @@ kinetics.</p>
 <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">## parent_0   1.000e+00 -1.151e-01 -2.085e-01 -7.436e-09</span></span>
+<span><span class="co">## log_alpha -1.151e-01  1.000e+00  9.741e-01 -1.617e-07</span></span>
+<span><span class="co">## log_beta  -2.085e-01  9.741e-01  1.000e+00 -1.386e-07</span></span>
+<span><span class="co">## sigma     -7.436e-09 -1.617e-07 -1.386e-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>
@@ -511,10 +511,10 @@ the data.</p>
 <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><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:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:16 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:16 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:25 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:25 2023 </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>
@@ -523,7 +523,7 @@ the data.</p>
 <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 0.04 s</span></span>
+<span><span class="co">## Fitted using 581 model solutions performed in 0.038 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>
@@ -554,18 +554,18 @@ the data.</p>
 <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_k1      3.113  1.849e+03 -4369.0000 4375.0000</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">## parent_0  1.000e+00  6.763e-07 -8.944e-10  2.665e-01 -1.083e-09</span></span>
+<span><span class="co">## log_k1    6.763e-07  1.000e+00  1.112e-04 -2.187e-04 -1.027e-05</span></span>
+<span><span class="co">## log_k2   -8.944e-10  1.112e-04  1.000e+00 -7.903e-01  9.464e-09</span></span>
+<span><span class="co">## g_qlogis  2.665e-01 -2.187e-04 -7.903e-01  1.000e+00 -1.532e-08</span></span>
+<span><span class="co">## sigma    -1.083e-09 -1.027e-05  9.464e-09 -1.532e-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>
@@ -573,7 +573,7 @@ the data.</p>
 <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">## k1        22.4900 5.533e-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>
@@ -585,7 +585,7 @@ the data.</p>
 <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>
+<span><span class="co">## parent 0.5335 5.311    1.599 0.03083   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>
@@ -628,10 +628,10 @@ 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><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:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:17 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:17 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:26 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:26 2023 </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>
@@ -640,7 +640,7 @@ summary and plot functions working on mkinfit objects.</p>
 <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 0.024 s</span></span>
+<span><span class="co">## Fitted using 376 model solutions performed in 0.021 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>
@@ -678,11 +678,11 @@ summary and plot functions working on mkinfit objects.</p>
 <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">## parent_0  1.000e+00  1.732e-01  2.282e-02  4.009e-01 -9.696e-08</span></span>
+<span><span class="co">## log_k1    1.732e-01  1.000e+00  4.945e-01 -5.809e-01  7.148e-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">## g_qlogis  4.009e-01 -5.809e-01 -6.812e-01  1.000e+00 -7.930e-07</span></span>
+<span><span class="co">## sigma    -9.696e-08  7.148e-07  1.022e-06 -7.930e-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>
@@ -755,17 +755,17 @@ 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><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:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:17 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:17 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:26 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:26 2023 </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 0.009 s</span></span>
+<span><span class="co">## Fitted using 142 model solutions performed in 0.008 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>
@@ -797,9 +797,9 @@ appears negligible.</p>
 <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">## parent_0     1.000e+00    5.938e-01 3.430e-07</span></span>
+<span><span class="co">## log_k_parent 5.938e-01    1.000e+00 5.885e-07</span></span>
+<span><span class="co">## sigma        3.430e-07    5.885e-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>
@@ -820,17 +820,17 @@ appears negligible.</p>
 <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><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:    1.2.3 </span></span>
-<span><span class="co">## R version used for fitting:       4.2.3 </span></span>
-<span><span class="co">## Date of fit:     Thu Apr 20 07:37:17 2023 </span></span>
-<span><span class="co">## Date of summary: Thu Apr 20 07:37:17 2023 </span></span>
+<pre><code><span><span class="co">## mkin version used for fitting:    1.2.4 </span></span>
+<span><span class="co">## R version used for fitting:       4.3.0 </span></span>
+<span><span class="co">## Date of fit:     Fri May 19 09:20:26 2023 </span></span>
+<span><span class="co">## Date of summary: Fri May 19 09:20:26 2023 </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 0.014 s</span></span>
+<span><span class="co">## Fitted using 224 model solutions performed in 0.012 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>
@@ -865,10 +865,10 @@ appears negligible.</p>
 <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">## parent_0   1.000e+00 -4.696e-01 -5.543e-01 -2.447e-07</span></span>
+<span><span class="co">## log_alpha -4.696e-01  1.000e+00  9.889e-01  2.198e-08</span></span>
+<span><span class="co">## log_beta  -5.543e-01  9.889e-01  1.000e+00  4.923e-08</span></span>
+<span><span class="co">## sigma     -2.447e-07  2.198e-08  4.923e-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>