diff options
Diffstat (limited to 'docs')
| -rw-r--r-- | docs/news/index.html | 2 | ||||
| -rw-r--r-- | docs/pkgdown.yml | 2 | ||||
| -rw-r--r-- | docs/reference/confint.mkinfit.html | 20 | ||||
| -rw-r--r-- | docs/reference/mmkin.html | 16 | ||||
| -rw-r--r-- | docs/reference/nlme.html | 4 | ||||
| -rw-r--r-- | docs/reference/parms.html | 6 | ||||
| -rw-r--r-- | docs/reference/saemix-1.png | bin | 37443 -> 31551 bytes | |||
| -rw-r--r-- | docs/reference/saemix-2.png | bin | 38557 -> 58815 bytes | |||
| -rw-r--r-- | docs/reference/saemix.html | 135 |
9 files changed, 80 insertions, 105 deletions
diff --git a/docs/news/index.html b/docs/news/index.html index 149fc98e..c26652e9 100644 --- a/docs/news/index.html +++ b/docs/news/index.html @@ -148,6 +148,8 @@ <ul> <li><p>‘parms’: Add a method for mmkin objects</p></li> <li><p>‘saemix_model’, ‘saemix_data’: Helper functions to fit nonlinear mixed-effects models for mmkin row objects using the saemix package</p></li> +<li><p>‘mmkin’ and ‘confint(method = ’profile’): Use all cores detected by parallel::detectCores() per default</p></li> +<li><p>‘confint(method = ’profile’): Choose accuracy based on ‘rel_tol’ argument, relative to the bounds obtained by the quadratic approximation</p></li> </ul> </div> <div id="mkin-0-9-50-2-2020-05-12" class="section level1"> diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index 0bb01ef4..a8b168ce 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -10,7 +10,7 @@ articles: NAFTA_examples: web_only/NAFTA_examples.html benchmarks: web_only/benchmarks.html compiled_models: web_only/compiled_models.html -last_built: 2020-05-25T10:48Z +last_built: 2020-05-26T16:38Z urls: reference: https://pkgdown.jrwb.de/mkin/reference article: https://pkgdown.jrwb.de/mkin/articles diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html index 190494bc..0686c7bb 100644 --- a/docs/reference/confint.mkinfit.html +++ b/docs/reference/confint.mkinfit.html @@ -79,7 +79,7 @@ method of Venzon and Moolgavkar (1988)." /> </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">0.9.50.2</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.3</span> </span> </div> @@ -116,6 +116,9 @@ method of Venzon and Moolgavkar (1988)." /> <li> <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a> </li> + <li> + <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> + </li> </ul> </li> <li> @@ -168,7 +171,8 @@ method of Venzon and Moolgavkar (1988).</p> <span class='kw'>method</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"quadratic"</span>, <span class='st'>"profile"</span>), <span class='kw'>transformed</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>backtransform</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, - <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Round.html'>round</a></span>(<span class='fu'>detectCores</span>()/<span class='fl'>2</span>), + <span class='kw'>cores</span> <span class='kw'>=</span> <span class='kw pkg'>parallel</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></span>(), + <span class='kw'>rel_tol</span> <span class='kw'>=</span> <span class='fl'>0.01</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='no'>...</span> )</pre> @@ -224,6 +228,12 @@ their confidence intervals?</p></td> On Windows machines, cores > 1 is currently not supported.</p></td> </tr> <tr> + <th>rel_tol</th> + <td><p>If the method is 'profile', what should be the accuracy +of the lower and upper bounds, relative to the estimate obtained from +the quadratic method?</p></td> + </tr> + <tr> <th>quiet</th> <td><p>Should we suppress the message "Profiling the likelihood"</p></td> </tr> @@ -270,13 +280,13 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37, <span class='no'>SFO_SFO.ff</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"m1"</span>), <span class='kw'>m1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>), <span class='kw'>use_of_ff</span> <span class='kw'>=</span> <span class='st'>"max"</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) <span class='no'>f_d_1</span> <span class='kw'><-</span> <span class='fu'><a href='mkinfit.html'>mkinfit</a></span>(<span class='no'>SFO_SFO</span>, <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>FOCUS_2006_D</span>, <span class='no'>value</span> <span class='kw'>!=</span> <span class='fl'>0</span>), <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) -<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> User System verstrichen -#> 3.410 0.000 3.412 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span> +<span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> user system elapsed +#> 3.689 0.991 3.361 </div><div class='input'><span class='co'># Using more cores does not save much time here, as parent_0 takes up most of the time</span> <span class='co'># If we additionally exclude parent_0 (the confidence of which is often of</span> <span class='co'># minor interest), we get a nice performance improvement from about 50</span> <span class='co'># seconds to about 12 seconds if we use at least four cores</span> <span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>ci_profile_no_parent_0</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/stats/confint.html'>confint</a></span>(<span class='no'>f_d_1</span>, <span class='kw'>method</span> <span class='kw'>=</span> <span class='st'>"profile"</span>, - <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>))</div><div class='output co'>#> <span class='message'>Profiling the likelihood</span></div><div class='output co'>#> <span class='warning'>Warning: scheduled cores 1, 2, 3 encountered errors in user code, all values of the jobs will be affected</span></div><div class='output co'>#> <span class='error'>Error in dimnames(x) <- dn: Länge von 'dimnames' [2] ungleich der Arrayausdehnung</span></div><div class='output co'>#> <span class='message'>Timing stopped at: 0.008 0.044 0.201</span></div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#> 2.5% 97.5% + <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"k_parent_sink"</span>, <span class='st'>"k_parent_m1"</span>, <span class='st'>"k_m1_sink"</span>, <span class='st'>"sigma"</span>), <span class='kw'>cores</span> <span class='kw'>=</span> <span class='no'>n_cores</span>))</div><div class='output co'>#> <span class='message'>Profiling the likelihood</span></div><div class='output co'>#> <span class='warning'>Warning: scheduled cores 2, 1, 3 encountered errors in user code, all values of the jobs will be affected</span></div><div class='output co'>#> <span class='error'>Error in dimnames(x) <- dn: length of 'dimnames' [2] not equal to array extent</span></div><div class='output co'>#> <span class='message'>Timing stopped at: 0.007 0.042 0.193</span></div><div class='input'><span class='no'>ci_profile</span></div><div class='output co'>#> 2.5% 97.5% #> parent_0 96.456003640 1.027703e+02 #> k_parent 0.090911032 1.071578e-01 #> k_m1 0.003892605 6.702778e-03 diff --git a/docs/reference/mmkin.html b/docs/reference/mmkin.html index 3be3b4b9..9628c017 100644 --- a/docs/reference/mmkin.html +++ b/docs/reference/mmkin.html @@ -75,7 +75,7 @@ datasets specified in its first two arguments." /> </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">0.9.50.2</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.3</span> </span> </div> @@ -112,6 +112,9 @@ datasets specified in its first two arguments." /> <li> <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a> </li> + <li> + <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a> + </li> </ul> </li> <li> @@ -152,7 +155,7 @@ datasets specified in its first two arguments.</p> <pre class="usage"><span class='fu'>mmkin</span>( <span class='kw'>models</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span>), <span class='no'>datasets</span>, - <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/Round.html'>round</a></span>(<span class='fu'>detectCores</span>()/<span class='fl'>2</span>), + <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fu'>detectCores</span>(), <span class='kw'>cluster</span> <span class='kw'>=</span> <span class='kw'>NULL</span>, <span class='no'>...</span> )</pre> @@ -176,7 +179,8 @@ data for <code><a href='mkinfit.html'>mkinfit</a></code>.</p></td> <td><p>The number of cores to be used for multicore processing. This is only used when the <code>cluster</code> argument is <code>NULL</code>. On Windows machines, cores > 1 is not supported, you need to use the <code>cluster</code> -argument to use multiple logical processors.</p></td> +argument to use multiple logical processors. Per default, all cores +detected by <code><a href='https://rdrr.io/r/parallel/detectCores.html'>parallel::detectCores()</a></code> are used.</p></td> </tr> <tr> <th>cluster</th> @@ -215,9 +219,9 @@ plotting.</p></div> <span class='no'>time_default</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>fits.0</span> <span class='kw'><-</span> <span class='fu'>mmkin</span>(<span class='no'>models</span>, <span class='no'>datasets</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>)) <span class='no'>time_1</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/system.time.html'>system.time</a></span>(<span class='no'>fits.4</span> <span class='kw'><-</span> <span class='fu'>mmkin</span>(<span class='no'>models</span>, <span class='no'>datasets</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>))</div><div class='output co'>#> <span class='warning'>Warning: Optimisation did not converge:</span> #> <span class='warning'>false convergence (8)</span></div><div class='input'> -<span class='no'>time_default</span></div><div class='output co'>#> User System verstrichen -#> 4.520 0.374 1.284 </div><div class='input'><span class='no'>time_1</span></div><div class='output co'>#> User System verstrichen -#> 5.076 0.004 5.083 </div><div class='input'> +<span class='no'>time_default</span></div><div class='output co'>#> user system elapsed +#> 4.457 0.561 1.328 </div><div class='input'><span class='no'>time_1</span></div><div class='output co'>#> user system elapsed +#> 5.031 0.004 5.038 </div><div class='input'> <span class='fu'><a href='endpoints.html'>endpoints</a></span>(<span class='no'>fits.0</span><span class='kw'>[[</span><span class='st'>"SFO_lin"</span>, <span class='fl'>2</span>]])</div><div class='output co'>#> $ff #> parent_M1 parent_sink M1_M2 M1_sink #> 0.7340478 0.2659522 0.7505691 0.2494309 diff --git a/docs/reference/nlme.html b/docs/reference/nlme.html index b2d415dc..3462e52e 100644 --- a/docs/reference/nlme.html +++ b/docs/reference/nlme.html @@ -75,7 +75,7 @@ datasets. They are used internally by the nlme.mmkin() method." /> </button> <span class="navbar-brand"> <a class="navbar-link" href="../index.html">mkin</a> - <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.2</span> + <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.50.3</span> </span> </div> @@ -178,7 +178,7 @@ datasets. They are used internally by the <code><a href='nlme.mmkin.html'>nlme.m <p>If random is FALSE (default), a named vector containing mean values of the fitted degradation model parameters. If random is TRUE, a list with fixed and random effects, in the format required by the start argument of -nlme for the case of a single grouping variable ds?</p> +nlme for the case of a single grouping variable ds.</p> <p>A <code><a href='https://rdrr.io/pkg/nlme/man/groupedData.html'>groupedData</a></code> object</p> <h2 class="hasAnchor" id="see-also"><a class="anchor" href="#see-also"></a>See also</h2> diff --git a/docs/reference/parms.html b/docs/reference/parms.html index 432bbc88..2fe91c26 100644 --- a/docs/reference/parms.html +++ b/docs/reference/parms.html @@ -195,7 +195,8 @@ such matrices is returned.</p> <span class='no'>ds</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span>(<span class='no'>experimental_data_for_UBA_2019</span>[<span class='fl'>6</span>:<span class='fl'>10</span>], <span class='kw'>function</span>(<span class='no'>x</span>) <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>x</span>$<span class='no'>data</span>[<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"name"</span>, <span class='st'>"time"</span>, <span class='st'>"value"</span>)])) <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span>(<span class='no'>ds</span>) <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Dataset"</span>, <span class='fl'>6</span>:<span class='fl'>10</span>) -<span class='no'>fits</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span>), <span class='no'>ds</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) +<span class='co'># \dontrun{</span> +<span class='no'>fits</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"FOMC"</span>, <span class='st'>"DFOP"</span>), <span class='no'>ds</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>1</span>) <span class='fu'>parms</span>(<span class='no'>fits</span>[<span class='st'>"SFO"</span>, ])</div><div class='output co'>#> Dataset 6 Dataset 7 Dataset 8 Dataset 9 Dataset 10 #> parent_0 88.52275400 82.666781678 86.8547308 91.7779306 82.14809450 #> k_parent_sink 0.05794659 0.009647805 0.2102974 0.1232258 0.00720421 @@ -259,7 +260,8 @@ such matrices is returned.</p> #> log_k2 -3.5206791 -5.85402317 -2.5794240 -3.4233253 -5.676532 #> g_ilr -0.1463234 0.07627854 0.4719196 0.4477805 -0.460676 #> sigma 1.3569047 2.22130220 1.3416908 2.8715985 1.942068 -#> </div></pre> +#> </div><div class='input'># } +</div></pre> </div> <div class="col-md-3 hidden-xs hidden-sm" id="pkgdown-sidebar"> <nav id="toc" data-toggle="toc" class="sticky-top"> diff --git a/docs/reference/saemix-1.png b/docs/reference/saemix-1.png Binary files differindex 529588ce..0d79300d 100644 --- a/docs/reference/saemix-1.png +++ b/docs/reference/saemix-1.png diff --git a/docs/reference/saemix-2.png b/docs/reference/saemix-2.png Binary files differindex b85f878f..04de70b5 100644 --- a/docs/reference/saemix-2.png +++ b/docs/reference/saemix-2.png diff --git a/docs/reference/saemix.html b/docs/reference/saemix.html index 1737a21c..d3eb216c 100644 --- a/docs/reference/saemix.html +++ b/docs/reference/saemix.html @@ -153,7 +153,7 @@ list of mkinfit objects that have been obtained by fitting the same model to a list of datasets.</p> </div> - <pre class="usage"><span class='fu'>saemix_model</span>(<span class='no'>object</span>) + <pre class="usage"><span class='fu'>saemix_model</span>(<span class='no'>object</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='kw pkg'>parallel</span><span class='kw ns'>::</span><span class='fu'><a href='https://rdrr.io/r/parallel/detectCores.html'>detectCores</a></span>()) <span class='fu'>saemix_data</span>(<span class='no'>object</span>, <span class='no'>...</span>)</pre> @@ -165,6 +165,11 @@ a list of datasets.</p> <td><p>An mmkin row object containing several fits of the same model to different datasets</p></td> </tr> <tr> + <th>cores</th> + <td><p>The number of cores to be used for multicore processing. +On Windows machines, cores > 1 is currently not supported.</p></td> + </tr> + <tr> <th>...</th> <td><p>Further parameters passed to <a href='https://rdrr.io/pkg/saemix/man/saemixData.html'>saemix::saemixData</a></p></td> </tr> @@ -174,21 +179,22 @@ a list of datasets.</p> <p>An <a href='https://rdrr.io/pkg/saemix/man/SaemixModel-class.html'>saemix::SaemixModel</a> object.</p> <p>An <a href='https://rdrr.io/pkg/saemix/man/SaemixData-class.html'>saemix::SaemixData</a> object.</p> + <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2> + + <p>Starting values for the fixed effects (population mean parameters, argument psi0 of +<code><a href='https://rdrr.io/pkg/saemix/man/saemixModel.html'>saemix::saemixModel()</a></code> are the mean values of the parameters found using +mmkin. Starting variances of the random effects (argument omega.init) are the +variances of the deviations of the parameters from these mean values.</p> <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> <pre class="examples"><div class='input'><span class='no'>ds</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/lapply.html'>lapply</a></span>(<span class='no'>experimental_data_for_UBA_2019</span>[<span class='fl'>6</span>:<span class='fl'>10</span>], <span class='kw'>function</span>(<span class='no'>x</span>) <span class='fu'><a href='https://rdrr.io/r/base/subset.html'>subset</a></span>(<span class='no'>x</span>$<span class='no'>data</span>[<span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='st'>"name"</span>, <span class='st'>"time"</span>, <span class='st'>"value"</span>)])) <span class='fu'><a href='https://rdrr.io/r/base/names.html'>names</a></span>(<span class='no'>ds</span>) <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/paste.html'>paste</a></span>(<span class='st'>"Dataset"</span>, <span class='fl'>6</span>:<span class='fl'>10</span>) <span class='no'>sfo_sfo</span> <span class='kw'><-</span> <span class='fu'><a href='mkinmod.html'>mkinmod</a></span>(<span class='kw'>parent</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>, <span class='st'>"A1"</span>), - <span class='kw'>A1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='no'>f_mmkin</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='st'>"SFO-SFO"</span> <span class='kw'>=</span> <span class='no'>sfo_sfo</span>), <span class='no'>ds</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>, <span class='kw'>cores</span> <span class='kw'>=</span> <span class='fl'>5</span>) -<span class='co'># \dontrun{</span> -<span class='kw'>if</span> (<span class='fu'><a href='https://rdrr.io/r/base/library.html'>require</a></span>(<span class='no'>saemix</span>)) { - <span class='no'>m_saemix</span> <span class='kw'><-</span> <span class='fu'>saemix_model</span>(<span class='no'>f_mmkin</span>) - <span class='no'>d_saemix</span> <span class='kw'><-</span> <span class='fu'>saemix_data</span>(<span class='no'>f_mmkin</span>) - <span class='no'>saemix_options</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='kw'>seed</span> <span class='kw'>=</span> <span class='fl'>123456</span>, <span class='kw'>save</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>save.graphs</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>) - <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix</a></span>(<span class='no'>m_saemix</span>, <span class='no'>d_saemix</span>, <span class='no'>saemix_options</span>) -}</div><div class='output co'>#> <span class='message'>Loading required package: saemix</span></div><div class='output co'>#> <span class='message'>Package saemix, version 3.1.9000</span> -#> <span class='message'> please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='output co'>#> + <span class='kw'>A1</span> <span class='kw'>=</span> <span class='fu'><a href='mkinsub.html'>mkinsub</a></span>(<span class='st'>"SFO"</span>))</div><div class='output co'>#> <span class='message'>Successfully compiled differential equation model from auto-generated C code.</span></div><div class='input'><span class='co'># \dontrun{</span> +<span class='no'>f_mmkin</span> <span class='kw'><-</span> <span class='fu'><a href='mmkin.html'>mmkin</a></span>(<span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='st'>"SFO-SFO"</span> <span class='kw'>=</span> <span class='no'>sfo_sfo</span>), <span class='no'>ds</span>, <span class='kw'>quiet</span> <span class='kw'>=</span> <span class='fl'>TRUE</span>) +<span class='fu'><a href='https://rdrr.io/r/base/library.html'>library</a></span>(<span class='no'>saemix</span>)</div><div class='output co'>#> <span class='message'>Package saemix, version 3.1.9000</span> +#> <span class='message'> please direct bugs, questions and feedback to emmanuelle.comets@inserm.fr</span></div><div class='input'><span class='no'>m_saemix</span> <span class='kw'><-</span> <span class='fu'>saemix_model</span>(<span class='no'>f_mmkin</span>)</div><div class='output co'>#> #> #> The following SaemixModel object was successfully created: #> @@ -224,12 +230,12 @@ a list of datasets.</p> #> out_values <- out_wide[out_index] #> } #> return(out_values) -#> }, mc.cores = 15) +#> }, mc.cores = cores) #> res <- unlist(res_list) #> return(res) #> } -#> <bytecode: 0x555559875398> -#> <environment: 0x55555973a248> +#> <bytecode: 0x555559668108> +#> <environment: 0x555559677c08> #> Nb of parameters: 4 #> parameter names: parent_0 log_k_parent log_k_A1 f_parent_ilr_1 #> distribution: @@ -248,8 +254,7 @@ a list of datasets.</p> #> No covariate in the model. #> Initial values #> parent_0 log_k_parent log_k_A1 f_parent_ilr_1 -#> Pop.CondInit 86.53449 -3.207005 -3.060308 -1.920449 -#> +#> Pop.CondInit 86.53449 -3.207005 -3.060308 -1.920449</div><div class='input'><span class='no'>d_saemix</span> <span class='kw'><-</span> <span class='fu'>saemix_data</span>(<span class='no'>f_mmkin</span>)</div><div class='output co'>#> #> #> The following SaemixData object was successfully created: #> @@ -257,12 +262,14 @@ a list of datasets.</p> #> longitudinal data for use with the SAEM algorithm #> Dataset ds_saemix #> Structured data: value ~ time + name | ds -#> X variable for graphs: time () -#> Running main SAEM algorithm -#> [1] "Mon May 25 12:48:51 2020" -#> .</div><div class='img'><img src='saemix-1.png' alt='' width='700' height='433' /></div><div class='output co'>#> .</div><div class='img'><img src='saemix-2.png' alt='' width='700' height='433' /></div><div class='output co'>#> .</div><div class='img'><img src='saemix-3.png' alt='' width='700' height='433' /></div><div class='output co'>#> .</div><div class='img'><img src='saemix-4.png' alt='' width='700' height='433' /></div><div class='output co'>#> +#> X variable for graphs: time () </div><div class='input'><span class='no'>saemix_options</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/list.html'>list</a></span>(<span class='kw'>seed</span> <span class='kw'>=</span> <span class='fl'>123456</span>, + <span class='kw'>save</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>save.graphs</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, <span class='kw'>displayProgress</span> <span class='kw'>=</span> <span class='fl'>FALSE</span>, + <span class='kw'>nbiter.saemix</span> <span class='kw'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span>(<span class='fl'>200</span>, <span class='fl'>80</span>)) +<span class='no'>f_saemix</span> <span class='kw'><-</span> <span class='fu'><a href='https://rdrr.io/pkg/saemix/man/saemix.html'>saemix</a></span>(<span class='no'>m_saemix</span>, <span class='no'>d_saemix</span>, <span class='no'>saemix_options</span>)</div><div class='output co'>#> Running main SAEM algorithm +#> [1] "Tue May 26 18:25:16 2020" +#> .. #> Minimisation finished -#> [1] "Mon May 25 12:56:39 2020"</div><div class='output co'>#> Nonlinear mixed-effects model fit by the SAEM algorithm +#> [1] "Tue May 26 18:31:09 2020"</div><div class='img'><img src='saemix-1.png' alt='' width='700' height='433' /></div><div class='output co'>#> Nonlinear mixed-effects model fit by the SAEM algorithm #> ----------------------------------- #> ---- Data ---- #> ----------------------------------- @@ -322,12 +329,12 @@ a list of datasets.</p> #> out_values <- out_wide[out_index] #> } #> return(out_values) -#> }, mc.cores = 15) +#> }, mc.cores = cores) #> res <- unlist(res_list) #> return(res) #> } -#> <bytecode: 0x555559875398> -#> <environment: 0x55555973a248> +#> <bytecode: 0x555559668108> +#> <environment: 0x555559677c08> #> Nb of parameters: 4 #> parameter names: parent_0 log_k_parent log_k_A1 f_parent_ilr_1 #> distribution: @@ -353,7 +360,7 @@ a list of datasets.</p> #> Estimation of individual parameters (MAP) #> Estimation of standard errors and linearised log-likelihood #> Estimation of log-likelihood by importance sampling -#> Number of iterations: K1=300, K2=100 +#> Number of iterations: K1=200, K2=80 #> Number of chains: 10 #> Seed: 123456 #> Number of MCMC iterations for IS: 5000 @@ -369,19 +376,19 @@ a list of datasets.</p> #> ----------------- Fixed effects ------------------ #> ---------------------------------------------------- #> Parameter Estimate SE CV(%) -#> [1,] parent_0 86.21 1.51 1.7 +#> [1,] parent_0 86.14 1.61 1.9 #> [2,] log_k_parent -3.21 0.59 18.5 -#> [3,] log_k_A1 -4.64 0.29 6.3 -#> [4,] f_parent_ilr_1 -0.32 0.30 93.2 -#> [5,] a.1 4.69 0.27 5.8 +#> [3,] log_k_A1 -4.66 0.30 6.4 +#> [4,] f_parent_ilr_1 -0.33 0.30 91.7 +#> [5,] a.1 4.68 0.27 5.8 #> ---------------------------------------------------- #> ----------- Variance of random effects ----------- #> ---------------------------------------------------- #> Parameter Estimate SE CV(%) -#> parent_0 omega2.parent_0 6.07 7.08 117 -#> log_k_parent omega2.log_k_parent 1.75 1.11 63 +#> parent_0 omega2.parent_0 7.71 8.14 106 +#> log_k_parent omega2.log_k_parent 1.76 1.12 63 #> log_k_A1 omega2.log_k_A1 0.26 0.26 101 -#> f_parent_ilr_1 omega2.f_parent_ilr_1 0.38 0.27 71 +#> f_parent_ilr_1 omega2.f_parent_ilr_1 0.39 0.28 71 #> ---------------------------------------------------- #> ------ Correlation matrix of random effects ------ #> ---------------------------------------------------- @@ -399,66 +406,16 @@ a list of datasets.</p> #> --------------- Statistical criteria ------------- #> ---------------------------------------------------- #> Likelihood computed by linearisation -#> -2LL= 1064.397 -#> AIC = 1082.397 -#> BIC = 1078.882 +#> -2LL= 1064.364 +#> AIC = 1082.364 +#> BIC = 1078.848 #> #> Likelihood computed by importance sampling -#> -2LL= 1063.161 -#> AIC = 1081.161 -#> BIC = 1077.646 -#> ----------------------------------------------------</div><div class='output co'>#> Nonlinear mixed-effects model fit by the SAEM algorithm -#> ----------------------------------------- -#> ---- Data and Model ---- -#> ----------------------------------------- -#> Data -#> Dataset ds_saemix -#> Longitudinal data: value ~ time + name | ds -#> -#> Model: -#> Mixed model generated from mmkin object -#> 4 parameters: parent_0 log_k_parent log_k_A1 f_parent_ilr_1 -#> error model: constant -#> No covariate -#> -#> Key options -#> Estimation of individual parameters (MAP) -#> Estimation of standard errors and linearised log-likelihood -#> Estimation of log-likelihood by importance sampling -#> Number of iterations: K1=300, K2=100 -#> Number of chains: 10 -#> Seed: 123456 -#> Number of MCMC iterations for IS: 5000 -#> Input/output -#> results not saved -#> no graphs -#> ---------------------------------------------------- -#> ---- Results ---- -#> Fixed effects -#> Parameter Estimate SE CV(%) -#> parent_0 86.214 1.506 1.75 -#> log_k_parent -3.210 0.593 18.47 -#> log_k_A1 -4.643 0.294 6.34 -#> f_parent_ilr_1 -0.322 0.300 93.24 -#> a.1 4.689 0.270 5.76 -#> -#> Variance of random effects -#> Parameter Estimate SE CV(%) -#> omega2.parent_0 6.068 7.078 116.7 -#> omega2.log_k_parent 1.752 1.111 63.4 -#> omega2.log_k_A1 0.256 0.257 100.5 -#> omega2.f_parent_ilr_1 0.385 0.273 70.8 -#> -#> Statistical criteria -#> Likelihood computed by linearisation -#> -2LL= 1064.397 -#> AIC= 1082.397 -#> BIC= 1078.882 -#> Likelihood computed by importance sampling -#> -2LL= 1063.161 -#> AIC= 1081.161 -#> BIC= 1077.646 </div><div class='input'># } -</div><div class='img'><img src='saemix-5.png' alt='' width='700' height='433' /></div></pre> +#> -2LL= 1063.462 +#> AIC = 1081.462 +#> BIC = 1077.947 +#> ----------------------------------------------------</div><div class='input'><span class='fu'><a href='https://rdrr.io/pkg/saemix/man/plot-SaemixObject-method.html'>plot</a></span>(<span class='no'>f_saemix</span>, <span class='kw'>plot.type</span> <span class='kw'>=</span> <span class='st'>"convergence"</span>)</div><div class='output co'>#> Plotting convergence plots</div><div class='img'><img src='saemix-2.png' alt='' width='700' height='433' /></div><div class='input'># } +</div></pre> </div> <div 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