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authorJohannes Ranke <jranke@uni-bremen.de>2022-11-17 14:54:20 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2022-11-17 14:56:25 +0100
commite5d1df9a9b1f0951d7dfbaf24eee4294470b73e2 (patch)
tree18740ef050a68d1a6fe91f1bd2fdfdd97ac6448b /docs/reference/parms.html
parent90354f5cd9e095f9ef98424689a2716770b248d4 (diff)
Complete update of online docs for v1.2.0
Diffstat (limited to 'docs/reference/parms.html')
-rw-r--r--docs/reference/parms.html122
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diff --git a/docs/reference/parms.html b/docs/reference/parms.html
index 18f3566e..a3d62d1e 100644
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+++ b/docs/reference/parms.html
@@ -1,7 +1,7 @@
<!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>Extract model parameters from mkinfit models — parms • 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="Extract model parameters from mkinfit models — parms"><meta property="og:description" content="This function always returns degradation model parameters as well as error
-model parameters, in order to avoid working with a fitted model without
-considering the error structure that was assumed for the fit."><!-- 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]>
+<!-- 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>Extract model parameters — parms • 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="Extract model parameters — parms"><meta property="og:description" content="This function returns degradation model parameters as well as error
+model parameters per default, in order to avoid working with a fitted model
+without considering the error structure that was assumed for the fit."><!-- 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">
@@ -19,7 +19,7 @@ considering the error structure that was assumed for the fit."><!-- mathjax --><
</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">1.1.0</span>
+ <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.0</span>
</span>
</div>
@@ -46,19 +46,25 @@ considering the error structure that was assumed for the fit."><!-- mathjax --><
<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>
+ <a href="../articles/web_only/multistart.html">Short demo of the multistart method</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/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</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>
+ <a href="../articles/web_only/benchmarks.html">Benchmark timings for mkin</a>
+ </li>
+ <li>
+ <a href="../articles/web_only/saem_benchmarks.html">Benchmark timings for saem.mmkin</a>
</li>
</ul></li>
<li>
@@ -79,69 +85,91 @@ considering the error structure that was assumed for the fit."><!-- mathjax --><
</header><div class="row">
<div class="col-md-9 contents">
<div class="page-header">
- <h1>Extract model parameters from mkinfit models</h1>
- <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/parms.mkinfit.R" class="external-link"><code>R/parms.mkinfit.R</code></a></small>
+ <h1>Extract model parameters</h1>
+ <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/parms.R" class="external-link"><code>R/parms.R</code></a></small>
<div class="hidden name"><code>parms.Rd</code></div>
</div>
<div class="ref-description">
- <p>This function always returns degradation model parameters as well as error
-model parameters, in order to avoid working with a fitted model without
-considering the error structure that was assumed for the fit.</p>
+ <p>This function returns degradation model parameters as well as error
+model parameters per default, in order to avoid working with a fitted model
+without considering the error structure that was assumed for the fit.</p>
</div>
<div id="ref-usage">
- <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span>
-
-<span class="co"># S3 method for mkinfit</span>
-<span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, <span class="va">...</span><span class="op">)</span>
-
-<span class="co"># S3 method for mmkin</span>
-<span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <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">parms</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">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, errparms <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 mmkin</span></span>
+<span><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, errparms <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 multistart</span></span>
+<span><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, exclude_failed <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>A fitted model object. Methods are implemented for
-<code><a href="mkinfit.html">mkinfit()</a></code> objects and for <code><a href="mmkin.html">mmkin()</a></code> objects.</p></dd>
+<dd><p>A fitted model object.</p></dd>
+
+
<dt>...</dt>
<dd><p>Not used</p></dd>
+
+
<dt>transformed</dt>
-<dd><p>Should the parameters be returned
-as used internally during the optimisation?</p></dd>
+<dd><p>Should the parameters be returned as used internally
+during the optimisation?</p></dd>
+
+
+<dt>errparms</dt>
+<dd><p>Should the error model parameters be returned
+in addition to the degradation parameters?</p></dd>
+
+
+<dt>exclude_failed</dt>
+<dd><p>For <a href="multistart.html">multistart</a> objects, should rows for failed fits
+be removed from the returned parameter matrix?</p></dd>
+
</dl></div>
<div id="value">
<h2>Value</h2>
- <p>For mkinfit objects, a numeric vector of fitted model parameters.
-For mmkin row objects, a matrix with the parameters with a
-row for each dataset. If the mmkin object has more than one row, a list of
-such matrices is returned.</p>
+
+
+<p>Depending on the object, a numeric vector of fitted model parameters,
+a matrix (e.g. for mmkin row objects), or a list of matrices (e.g. for
+mmkin objects with more than one row).</p>
+ </div>
+ <div id="see-also">
+ <h2>See also</h2>
+ <div class="dont-index"><p><a href="saem.html">saem</a>, <a href="multistart.html">multistart</a></p></div>
</div>
<div id="ref-examples">
<h2>Examples</h2>
- <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span class="co"># mkinfit objects</span></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">"SFO"</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">parms</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 class="co"># mkinfit objects</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">"SFO"</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">parms</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> parent_0 k_parent sigma </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82.4921598 0.3060633 4.6730124 </span>
-<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fit</span>, transformed <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="fu">parms</span><span class="op">(</span><span class="va">fit</span>, transformed <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> parent_0 log_k_parent sigma </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 82.492160 -1.183963 4.673012 </span>
-<span class="r-in"></span>
-<span class="r-in"><span class="co"># mmkin objects</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="co"># \dontrun{</span></span>
-<span class="r-in"><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 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>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span>
-<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</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></span>
+<span class="r-in"><span><span class="co"># mmkin objects</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="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 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>, cores <span class="op">=</span> <span class="fl">1</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">[</span><span class="st">"SFO"</span>, <span class="op">]</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> k_parent 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> sigma 5.15274487 7.040168584 3.6769645 6.4669234 6.50457673</span>
-<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">[</span>, <span class="fl">2</span><span class="op">]</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">[</span>, <span class="fl">2</span><span class="op">]</span><span class="op">)</span></span></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> Dataset 7</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 82.666781678</span>
@@ -157,13 +185,13 @@ such matrices is returned.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $DFOP</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Dataset 7</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 91.058971599</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 91.058971589</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> k1 0.044946770</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> k2 0.002868336</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> g 0.526942414</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g 0.526942415</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> sigma 2.221302196</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="fu">parms</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> $SFO</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450</span>
@@ -179,13 +207,13 @@ such matrices is returned.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $DFOP</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 96.55213663 91.058971599 90.34509493 98.14858821 94.311323732</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 96.55213663 91.058971589 90.34509493 98.14858820 94.311323734</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> k1 0.21954588 0.044946770 0.41232288 0.31697588 0.080663857</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> k2 0.02957934 0.002868336 0.07581766 0.03260384 0.003425417</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> g 0.44845068 0.526942414 0.66091967 0.65322767 0.342652880</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> g 0.44845068 0.526942415 0.66091967 0.65322767 0.342652880</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> sigma 1.35690468 2.221302196 1.34169076 2.87159846 1.942067831</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-in"><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span>, transformed <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
+<span class="r-in"><span><span class="fu">parms</span><span class="op">(</span><span class="va">fits</span>, transformed <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> $SFO</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 88.522754 82.666782 86.854731 91.777931 82.148094</span>
@@ -207,7 +235,7 @@ such matrices is returned.</p>
<span class="r-out co"><span class="r-pr">#&gt;</span> g_qlogis -0.2069326 0.1078741 0.6673953 0.6332573 -0.6514943</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> sigma 1.3569047 2.2213022 1.3416908 2.8715985 1.9420678</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="co"># }</span></span></span>
</code></pre></div>
</div>
</div>
@@ -222,7 +250,7 @@ such matrices is returned.</p>
</div>
<div class="pkgdown">
- <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.3.</p>
+ <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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