diff options
| author | Johannes Ranke <jranke@uni-bremen.de> | 2022-08-10 15:38:17 +0200 | 
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2022-08-10 15:38:17 +0200 | 
| commit | 6178249bbb5e9de7cb7f34287ee7de28a68fed6c (patch) | |
| tree | 537dcc31245b02adba4a293ce6c90b23b202df25 /docs/dev/reference/saem.html | |
| parent | 307e77e5bf81c7422055493cee7f073b57069c6c (diff) | |
Change dev branch used for docs, update static docs
Diffstat (limited to 'docs/dev/reference/saem.html')
| -rw-r--r-- | docs/dev/reference/saem.html | 613 | 
1 files changed, 477 insertions, 136 deletions
| 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"><-</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"><-</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"><-</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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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"><-</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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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"><-</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"><-</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"><-</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"><-</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"><-</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"><-</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"><-</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"><-</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">#></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">#></span> Kinetic nonlinear mixed-effects model fit by SAEM</span> +<span class="r-out co"><span class="r-pr">#></span> Structural model:</span> +<span class="r-out co"><span class="r-pr">#></span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span> +<span class="r-out co"><span class="r-pr">#></span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span> +<span class="r-out co"><span class="r-pr">#></span>            * parent</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Data:</span> +<span class="r-out co"><span class="r-pr">#></span> 90 observations of 1 variable(s) grouped in 5 datasets</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Likelihood computed by importance sampling</span> +<span class="r-out co"><span class="r-pr">#></span>     AIC   BIC logLik</span> +<span class="r-out co"><span class="r-pr">#></span>   490.6 487.5 -237.3</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Fitted parameters:</span> +<span class="r-out co"><span class="r-pr">#></span>             estimate   lower   upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0      93.902 91.3695 96.4339</span> +<span class="r-out co"><span class="r-pr">#></span> log_k1        -2.936 -3.9950 -1.8762</span> +<span class="r-out co"><span class="r-pr">#></span> log_k2        -3.091 -4.9290 -1.2523</span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis      -0.366 -0.6484 -0.0836</span> +<span class="r-out co"><span class="r-pr">#></span> a.1            2.385  2.0033  2.7664</span> +<span class="r-out co"><span class="r-pr">#></span> SD.parent_0    2.476  0.3890  4.5623</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k1      1.195  0.4381  1.9517</span> +<span class="r-out co"><span class="r-pr">#></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">#></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">#></span> Loading required package: npde</span> -<span class="r-msg co"><span class="r-pr">#></span> </span> -<span class="r-msg co"><span class="r-pr">#></span> Attaching package: ‘npde’</span> -<span class="r-msg co"><span class="r-pr">#></span> The following object is masked from ‘package:nlmixr’:</span> -<span class="r-msg co"><span class="r-pr">#></span> </span> -<span class="r-msg co"><span class="r-pr">#></span>     warfarin</span> -<span class="r-msg co"><span class="r-pr">#></span> Package saemix, version 3.0</span> +<span class="r-msg co"><span class="r-pr">#></span> Package saemix, version 3.1</span>  <span class="r-msg co"><span class="r-pr">#></span>   please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span>  <span class="r-msg co"><span class="r-pr">#></span> </span>  <span class="r-msg co"><span class="r-pr">#></span> Attaching package: ‘saemix’</span>  <span class="r-msg co"><span class="r-pr">#></span> The following objects are masked from ‘package:npde’:</span>  <span class="r-msg co"><span class="r-pr">#></span> </span>  <span class="r-msg co"><span class="r-pr">#></span>     kurtosis, skewness</span> -<span class="r-msg co"><span class="r-pr">#></span> The following object is masked from ‘package:RxODE’:</span> -<span class="r-msg co"><span class="r-pr">#></span> </span> -<span class="r-msg co"><span class="r-pr">#></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">$</span><span class="va">so</span><span class="op">)</span></span> -<span class="r-err co"><span class="r-pr">#></span> <span class="error">Error in compare.saemix(f_saem_sfo$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">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"convergence"</span><span class="op">)</span></span> -<span class="r-err co"><span class="r-pr">#></span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span> -<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</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">#></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">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"npde"</span><span class="op">)</span></span> -<span class="r-err co"><span class="r-pr">#></span> <span class="error">Error in h(simpleError(msg, call)):</span> error in evaluating the argument 'x' in selecting a method for function 'plot': object 'f_saem_fomc' not found</span> -<span class="r-in"><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/plot-SaemixObject-ANY-method.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</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">#></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"><-</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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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">#></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"><-</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">$</span><span class="va">so</span><span class="op">)</span></span></span> +<span class="r-msg co"><span class="r-pr">#></span> Likelihoods calculated by importance sampling</span> +<span class="r-out co"><span class="r-pr">#></span>        AIC      BIC</span> +<span class="r-out co"><span class="r-pr">#></span> 1 624.2598 622.3070</span> +<span class="r-out co"><span class="r-pr">#></span> 2 467.8664 465.1324</span> +<span class="r-out co"><span class="r-pr">#></span> 3 493.9811 490.4660</span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/plot.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</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">#></span> Simulating data using nsim = 1000 simulated datasets</span> +<span class="r-out co"><span class="r-pr">#></span> Computing WRES and npde .</span> +<span class="r-msg co"><span class="r-pr">#></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">$</span><span class="va">so</span>, plot.type <span class="op">=</span> <span class="st">"vpc"</span><span class="op">)</span></span></span> +<span class="r-plt img"><img src="saem-3.png" alt="" width="700" height="433"></span> +<span class="r-in"><span></span></span> +<span class="r-in"><span><span class="va">f_mmkin_parent_tc</span> <span class="op"><-</span> <span class="fu"><a href="https://rdrr.io/r/stats/update.html" class="external-link">update</a></span><span class="op">(</span><span class="va">f_mmkin_parent</span>, error_model <span class="op">=</span> <span class="st">"tc"</span><span class="op">)</span></span></span> +<span class="r-in"><span><span class="va">f_saem_fomc_tc</span> <span class="op"><-</span> <span class="fu">saem</span><span class="op">(</span><span class="va">f_mmkin_parent_tc</span><span class="op">[</span><span class="st">"FOMC"</span>, <span class="op">]</span><span class="op">)</span></span></span> +<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/pkg/saemix/man/compare.saemix.html" class="external-link">compare.saemix</a></span><span class="op">(</span><span class="va">f_saem_fomc</span><span class="op">$</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">#></span> Likelihoods calculated by importance sampling</span> +<span class="r-out co"><span class="r-pr">#></span>        AIC      BIC</span> +<span class="r-out co"><span class="r-pr">#></span> 1 467.8664 465.1324</span> +<span class="r-out co"><span class="r-pr">#></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"><-</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">#></span> Temporary DLL for differentials generated and loaded</span> -<span class="r-in"><span class="va">fomc_sfo</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">"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"><-</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">#></span> Temporary DLL for differentials generated and loaded</span> -<span class="r-in"><span class="va">dfop_sfo</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">"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"><-</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">#></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"><-</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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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"><-</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">#></span>  </span> -<span class="r-err co"><span class="r-pr">#></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">#></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">#></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">#></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 <- 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 <- 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"><-</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"><-</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"><-</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">#></span> Kinetic nonlinear mixed-effects model fit by SAEM</span> +<span class="r-out co"><span class="r-pr">#></span> Structural model:</span> +<span class="r-out co"><span class="r-pr">#></span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span> +<span class="r-out co"><span class="r-pr">#></span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span> +<span class="r-out co"><span class="r-pr">#></span>            * parent</span> +<span class="r-out co"><span class="r-pr">#></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">#></span>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *</span> +<span class="r-out co"><span class="r-pr">#></span>            exp(-k2 * time))) * parent - k_A1 * A1</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Data:</span> +<span class="r-out co"><span class="r-pr">#></span> 170 observations of 2 variable(s) grouped in 5 datasets</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Likelihood computed by importance sampling</span> +<span class="r-out co"><span class="r-pr">#></span>   AIC   BIC logLik</span> +<span class="r-out co"><span class="r-pr">#></span>   842 836.9   -408</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Fitted parameters:</span> +<span class="r-out co"><span class="r-pr">#></span>                    estimate   lower   upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0            93.7701 91.1458 96.3945</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_A1            -5.8116 -7.5998 -4.0234</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis     -0.9608 -1.3654 -0.5562</span> +<span class="r-out co"><span class="r-pr">#></span> log_k1              -2.5841 -3.6876 -1.4805</span> +<span class="r-out co"><span class="r-pr">#></span> log_k2              -3.5228 -5.3254 -1.7203</span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis            -0.1027 -0.8719  0.6665</span> +<span class="r-out co"><span class="r-pr">#></span> a.1                  1.8856  1.6676  2.1037</span> +<span class="r-out co"><span class="r-pr">#></span> SD.parent_0          2.7682  0.7668  4.7695</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1          1.7447  0.4047  3.0848</span> +<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis   0.4525  0.1620  0.7431</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k1            1.2423  0.4560  2.0285</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k2            2.0390  0.7601  3.3180</span> +<span class="r-out co"><span class="r-pr">#></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">#></span> saemix version used for fitting:      3.1 </span> +<span class="r-out co"><span class="r-pr">#></span> mkin version used for pre-fitting:  1.1.2 </span> +<span class="r-out co"><span class="r-pr">#></span> R version used for fitting:         4.2.1 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of fit:     Wed Aug 10 15:27:26 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> Date of summary: Wed Aug 10 15:27:26 2022 </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Equations:</span> +<span class="r-out co"><span class="r-pr">#></span> d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *</span> +<span class="r-out co"><span class="r-pr">#></span>            time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))</span> +<span class="r-out co"><span class="r-pr">#></span>            * parent</span> +<span class="r-out co"><span class="r-pr">#></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">#></span>            * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *</span> +<span class="r-out co"><span class="r-pr">#></span>            exp(-k2 * time))) * parent - k_A1 * A1</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Data:</span> +<span class="r-out co"><span class="r-pr">#></span> 170 observations of 2 variable(s) grouped in 5 datasets</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Model predictions using solution type analytical </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Fitted in 9.438 s</span> +<span class="r-out co"><span class="r-pr">#></span> Using 300, 100 iterations and 10 chains</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Variance model: Constant variance </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Mean of starting values for individual parameters:</span> +<span class="r-out co"><span class="r-pr">#></span>        parent_0        log_k_A1 f_parent_qlogis          log_k1          log_k2 </span> +<span class="r-out co"><span class="r-pr">#></span>         93.8102         -5.3734         -0.9711         -1.8799         -4.2708 </span> +<span class="r-out co"><span class="r-pr">#></span>        g_qlogis </span> +<span class="r-out co"><span class="r-pr">#></span>          0.1356 </span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Fixed degradation parameter values:</span> +<span class="r-out co"><span class="r-pr">#></span> None</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Results:</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Likelihood computed by importance sampling</span> +<span class="r-out co"><span class="r-pr">#></span>   AIC   BIC logLik</span> +<span class="r-out co"><span class="r-pr">#></span>   842 836.9   -408</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Optimised parameters:</span> +<span class="r-out co"><span class="r-pr">#></span>                    est.   lower   upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0        93.7701 91.1458 96.3945</span> +<span class="r-out co"><span class="r-pr">#></span> log_k_A1        -5.8116 -7.5998 -4.0234</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.9608 -1.3654 -0.5562</span> +<span class="r-out co"><span class="r-pr">#></span> log_k1          -2.5841 -3.6876 -1.4805</span> +<span class="r-out co"><span class="r-pr">#></span> log_k2          -3.5228 -5.3254 -1.7203</span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis        -0.1027 -0.8719  0.6665</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Correlation: </span> +<span class="r-out co"><span class="r-pr">#></span>                 parnt_0 lg_k_A1 f_prnt_ log_k1  log_k2 </span> +<span class="r-out co"><span class="r-pr">#></span> log_k_A1        -0.0160                                </span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_qlogis -0.0263  0.0612                        </span> +<span class="r-out co"><span class="r-pr">#></span> log_k1           0.0100 -0.0014 -0.0033                </span> +<span class="r-out co"><span class="r-pr">#></span> log_k2           0.0131  0.0050 -0.0011  0.0071        </span> +<span class="r-out co"><span class="r-pr">#></span> g_qlogis        -0.0419 -0.0199  0.0026 -0.0765 -0.0707</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Random effects:</span> +<span class="r-out co"><span class="r-pr">#></span>                      est.   lower  upper</span> +<span class="r-out co"><span class="r-pr">#></span> SD.parent_0        2.7682  0.7668 4.7695</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k_A1        1.7447  0.4047 3.0848</span> +<span class="r-out co"><span class="r-pr">#></span> SD.f_parent_qlogis 0.4525  0.1620 0.7431</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k1          1.2423  0.4560 2.0285</span> +<span class="r-out co"><span class="r-pr">#></span> SD.log_k2          2.0390  0.7601 3.3180</span> +<span class="r-out co"><span class="r-pr">#></span> SD.g_qlogis        0.4439 -0.3069 1.1947</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Variance model:</span> +<span class="r-out co"><span class="r-pr">#></span>      est. lower upper</span> +<span class="r-out co"><span class="r-pr">#></span> a.1 1.886 1.668 2.104</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Backtransformed parameters:</span> +<span class="r-out co"><span class="r-pr">#></span>                     est.     lower    upper</span> +<span class="r-out co"><span class="r-pr">#></span> parent_0       93.770115 9.115e+01 96.39447</span> +<span class="r-out co"><span class="r-pr">#></span> k_A1            0.002993 5.005e-04  0.01789</span> +<span class="r-out co"><span class="r-pr">#></span> f_parent_to_A1  0.276720 2.034e-01  0.36443</span> +<span class="r-out co"><span class="r-pr">#></span> k1              0.075467 2.503e-02  0.22753</span> +<span class="r-out co"><span class="r-pr">#></span> k2              0.029516 4.867e-03  0.17902</span> +<span class="r-out co"><span class="r-pr">#></span> g               0.474353 2.949e-01  0.66073</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Resulting formation fractions:</span> +<span class="r-out co"><span class="r-pr">#></span>                 ff</span> +<span class="r-out co"><span class="r-pr">#></span> parent_A1   0.2767</span> +<span class="r-out co"><span class="r-pr">#></span> parent_sink 0.7233</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Estimated disappearance times:</span> +<span class="r-out co"><span class="r-pr">#></span>          DT50   DT90 DT50back DT50_k1 DT50_k2</span> +<span class="r-out co"><span class="r-pr">#></span> parent  14.56  58.26    17.54   9.185   23.48</span> +<span class="r-out co"><span class="r-pr">#></span> A1     231.62 769.41       NA      NA      NA</span> +<span class="r-out co"><span class="r-pr">#></span> </span> +<span class="r-out co"><span class="r-pr">#></span> Data:</span> +<span class="r-out co"><span class="r-pr">#></span>          ds   name time observed predicted residual   std standardized</span> +<span class="r-out co"><span class="r-pr">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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">#></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 <- 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 <- 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> | 
