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+either by the parameters of the run with the highest likelihood,
+or by their medians as proposed in the paper by Duchesne et al. (2021)."><!-- 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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+ <div class="col-md-9 contents">
+ <div class="page-header">
+ <h1>Plot parameter variability of multistart objects</h1>
+ <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/parplot.R" class="external-link"><code>R/parplot.R</code></a></small>
+ <div class="hidden name"><code>parplot.Rd</code></div>
+ </div>
+
+ <div class="ref-description">
+ <p>Produces a boxplot with all parameters from the multiple runs, scaled
+either by the parameters of the run with the highest likelihood,
+or by their medians as proposed in the paper by Duchesne et al. (2021).</p>
+ </div>
+
+ <div id="ref-usage">
+ <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">parplot</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 multistart.saem.mmkin</span></span>
+<span><span class="fu">parplot</span><span class="op">(</span></span>
+<span> <span class="va">object</span>,</span>
+<span> llmin <span class="op">=</span> <span class="op">-</span><span class="cn">Inf</span>,</span>
+<span> scale <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">"best"</span>, <span class="st">"median"</span><span class="op">)</span>,</span>
+<span> lpos <span class="op">=</span> <span class="st">"bottomleft"</span>,</span>
+<span> main <span class="op">=</span> <span class="st">""</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>object</dt>
+<dd><p>The <a href="multistart.html">multistart</a> object</p></dd>
+
+
+<dt>...</dt>
+<dd><p>Passed to <a href="https://rdrr.io/r/graphics/boxplot.html" class="external-link">boxplot</a></p></dd>
+
+
+<dt>llmin</dt>
+<dd><p>The minimum likelihood of objects to be shown</p></dd>
+
+
+<dt>scale</dt>
+<dd><p>By default, scale parameters using the best available fit.
+If 'median', parameters are scaled using the median parameters from all fits.</p></dd>
+
+
+<dt>lpos</dt>
+<dd><p>Positioning of the legend.</p></dd>
+
+
+<dt>main</dt>
+<dd><p>Title of the plot</p></dd>
+
+</dl></div>
+ <div id="details">
+ <h2>Details</h2>
+ <p>Starting values of degradation model parameters and error model parameters
+are shown as green circles. The results obtained in the original run
+are shown as red circles.</p>
+ </div>
+ <div id="references">
+ <h2>References</h2>
+ <p>Duchesne R, Guillemin A, Gandrillon O, Crauste F. Practical
+identifiability in the frame of nonlinear mixed effects models: the example
+of the in vitro erythropoiesis. BMC Bioinformatics. 2021 Oct 4;22(1):478.
+doi: 10.1186/s12859-021-04373-4.</p>
+ </div>
+ <div id="see-also">
+ <h2>See also</h2>
+ <div class="dont-index"><p><a href="multistart.html">multistart</a></p></div>
+ </div>
+
+ </div>
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