aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat
-rw-r--r--docs/dev/articles/web_only/multistart.html2
-rw-r--r--docs/dev/pkgdown.yml2
-rw-r--r--docs/dev/reference/index.html2
-rw-r--r--docs/dev/reference/multistart.html40
-rw-r--r--docs/dev/reference/parms.html17
-rw-r--r--vignettes/web_only/multistart.html4
-rw-r--r--vignettes/web_only/multistart_files/figure-html/unnamed-chunk-2-1.pngbin76647 -> 0 bytes
-rw-r--r--vignettes/web_only/multistart_files/figure-html/unnamed-chunk-3-1.pngbin70831 -> 0 bytes
8 files changed, 46 insertions, 21 deletions
diff --git a/docs/dev/articles/web_only/multistart.html b/docs/dev/articles/web_only/multistart.html
index f9b27a0c..8d26e55a 100644
--- a/docs/dev/articles/web_only/multistart.html
+++ b/docs/dev/articles/web_only/multistart.html
@@ -109,7 +109,7 @@
<h1 data-toc-skip>Short demo of the multistart method</h1>
<h4 data-toc-skip class="author">Johannes Ranke</h4>
- <h4 data-toc-skip class="date">Last change 19 September 2022 (rebuilt 2022-09-19)</h4>
+ <h4 data-toc-skip class="date">Last change 19 September 2022 (rebuilt 2022-09-28)</h4>
<small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/vignettes/web_only/multistart.rmd" class="external-link"><code>vignettes/web_only/multistart.rmd</code></a></small>
<div class="hidden name"><code>multistart.rmd</code></div>
diff --git a/docs/dev/pkgdown.yml b/docs/dev/pkgdown.yml
index 144a7f80..ee93ec22 100644
--- a/docs/dev/pkgdown.yml
+++ b/docs/dev/pkgdown.yml
@@ -12,7 +12,7 @@ articles:
compiled_models: web_only/compiled_models.html
dimethenamid_2018: web_only/dimethenamid_2018.html
multistart: web_only/multistart.html
-last_built: 2022-09-19T10:47Z
+last_built: 2022-09-28T14:45Z
urls:
reference: https://pkgdown.jrwb.de/mkin/reference
article: https://pkgdown.jrwb.de/mkin/articles
diff --git a/docs/dev/reference/index.html b/docs/dev/reference/index.html
index b7a5de92..cbd44762 100644
--- a/docs/dev/reference/index.html
+++ b/docs/dev/reference/index.html
@@ -237,7 +237,7 @@ degradation models and one or more error models</p></td>
</td>
<td><p>Confidence intervals for parameters in saem.mmkin objects</p></td>
</tr><tr><td>
- <p><code><a href="multistart.html">multistart()</a></code> <code><a href="multistart.html">print(<i>&lt;multistart&gt;</i>)</a></code> <code><a href="multistart.html">parms(<i>&lt;multistart&gt;</i>)</a></code> </p>
+ <p><code><a href="multistart.html">multistart()</a></code> <code><a href="multistart.html">print(<i>&lt;multistart&gt;</i>)</a></code> </p>
</td>
<td><p>Perform a hierarchical model fit with multiple starting values</p></td>
</tr><tr><td>
diff --git a/docs/dev/reference/multistart.html b/docs/dev/reference/multistart.html
index c85e6d1e..714cb2fc 100644
--- a/docs/dev/reference/multistart.html
+++ b/docs/dev/reference/multistart.html
@@ -100,16 +100,19 @@ mixed-effects models by Duchesne et al (2021).</p>
</div>
<div id="ref-usage">
- <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">multistart</span><span class="op">(</span><span class="va">object</span>, n <span class="op">=</span> <span class="fl">50</span>, cores <span class="op">=</span> <span class="fl">1</span>, <span class="va">...</span><span class="op">)</span></span>
+ <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">multistart</span><span class="op">(</span></span>
+<span> <span class="va">object</span>,</span>
+<span> n <span class="op">=</span> <span class="fl">50</span>,</span>
+<span> cores <span class="op">=</span> <span class="kw">if</span> <span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Sys.info.html" class="external-link">Sys.info</a></span><span class="op">(</span><span class="op">)</span><span class="op">[</span><span class="st">"sysname"</span><span class="op">]</span> <span class="op">==</span> <span class="st">"Windows"</span><span class="op">)</span> <span class="fl">1</span> <span class="kw">else</span> <span class="fu">parallel</span><span class="fu">::</span><span class="fu"><a href="https://rdrr.io/r/parallel/detectCores.html" class="external-link">detectCores</a></span><span class="op">(</span><span class="op">)</span>,</span>
+<span> cluster <span class="op">=</span> <span class="cn">NULL</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">multistart</span><span class="op">(</span><span class="va">object</span>, n <span class="op">=</span> <span class="fl">50</span>, cores <span class="op">=</span> <span class="fl">1</span>, <span class="va">...</span><span class="op">)</span></span>
+<span><span class="fu">multistart</span><span class="op">(</span><span class="va">object</span>, n <span class="op">=</span> <span class="fl">50</span>, cores <span class="op">=</span> <span class="fl">1</span>, cluster <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for multistart</span></span>
-<span><span class="fu"><a href="https://rdrr.io/r/base/print.html" class="external-link">print</a></span><span class="op">(</span><span class="va">x</span>, <span class="va">...</span><span class="op">)</span></span>
-<span></span>
-<span><span class="co"># S3 method for multistart</span></span>
-<span><span class="fu"><a href="parms.html">parms</a></span><span class="op">(</span><span class="va">object</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+<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>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
</div>
<div id="arguments">
@@ -124,7 +127,12 @@ used?</p></dd>
<dt>cores</dt>
-<dd><p>How many fits should be run in parallel?</p></dd>
+<dd><p>How many fits should be run in parallel (only on posix platforms)?</p></dd>
+
+
+<dt>cluster</dt>
+<dd><p>A cluster as returned by <a href="https://rdrr.io/r/parallel/makeCluster.html" class="external-link">parallel::makeCluster</a> to be used
+for parallel execution.</p></dd>
<dt>...</dt>
@@ -144,9 +152,7 @@ used?</p></dd>
</div>
<div id="details">
<h2>Details</h2>
- <p>Currently, parallel execution of the fits is only supported using
-<a href="https://rdrr.io/r/parallel/mclapply.html" class="external-link">parallel::mclapply</a>, i.e. not available on Windows.</p>
-<p>In case the online version of this help page contains error messages
+ <p>In case the online version of this help page contains error messages
in the example code and no plots, this is due to the multistart method
not working when called by pkgdown. Please refer to the
<a href="https://pkgdown.jrwb.de/mkin/dev/articles/web_only/multistart.html">online vignette</a>
@@ -186,10 +192,18 @@ doi: 10.1186/s12859-021-04373-4.</p>
<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in UseMethod("parms", object):</span> no applicable method for 'parms' applied to an object of class "try-error"</span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">f_saem_reduced</span> <span class="op">&lt;-</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_full</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">0</span>, <span class="fl">1</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">f_saem_reduced_multi</span> <span class="op">&lt;-</span> <span class="fu">multistart</span><span class="op">(</span><span class="va">f_saem_reduced</span>, n <span class="op">=</span> <span class="fl">16</span>, cores <span class="op">=</span> <span class="fl">16</span><span class="op">)</span></span></span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>all scheduled cores encountered errors in user code</span>
+<span class="r-in"><span><span class="co"># On Windows, we need to create a cluster first. When working with</span></span></span>
+<span class="r-in"><span><span class="co"># such a cluster, we need to export the mmkin object to the cluster</span></span></span>
+<span class="r-in"><span><span class="co"># nodes, as it is referred to when updating the saem object on the nodes.</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">parallel</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">cl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/parallel/makeCluster.html" class="external-link">makePSOCKcluster</a></span><span class="op">(</span><span class="fl">12</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/parallel/clusterApply.html" class="external-link">clusterExport</a></span><span class="op">(</span><span class="va">cl</span>, <span class="st">"f_mmkin"</span><span class="op">)</span></span></span>
+<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in get(name, envir = envir):</span> object 'f_mmkin' not found</span>
+<span class="r-in"><span><span class="va">f_saem_reduced_multi</span> <span class="op">&lt;-</span> <span class="fu">multistart</span><span class="op">(</span><span class="va">f_saem_reduced</span>, n <span class="op">=</span> <span class="fl">16</span>, cluster <span class="op">=</span> <span class="va">cl</span><span class="op">)</span></span></span>
+<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in checkForRemoteErrors(val):</span> 12 nodes produced errors; first error: object 'f_mmkin' not found</span>
<span class="r-in"><span><span class="fu"><a href="parhist.html">parhist</a></span><span class="op">(</span><span class="va">f_saem_reduced_multi</span>, lpos <span class="op">=</span> <span class="st">"bottomright"</span><span class="op">)</span></span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in UseMethod("parms", object):</span> no applicable method for 'parms' applied to an object of class "try-error"</span>
+<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error in parhist(f_saem_reduced_multi, lpos = "bottomright"):</span> object 'f_saem_reduced_multi' not found</span>
+<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>calling par(new=TRUE) with no plot</span>
<span class="r-in"><span><span class="co"># }</span></span></span>
</code></pre></div>
</div>
diff --git a/docs/dev/reference/parms.html b/docs/dev/reference/parms.html
index ded4567a..949bb2f9 100644
--- a/docs/dev/reference/parms.html
+++ b/docs/dev/reference/parms.html
@@ -46,12 +46,15 @@ without considering the error structure that was assumed for the fit."><meta nam
<a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
</li>
<li>
- <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+ <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a>
</li>
<li>
<a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
</li>
<li>
+ <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+ </li>
+ <li>
<a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
</li>
<li>
@@ -80,7 +83,7 @@ without considering the error structure that was assumed for the fit."><meta nam
<div class="col-md-9 contents">
<div class="page-header">
<h1>Extract model parameters</h1>
- <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/parms.mkinfit.R" class="external-link"><code>R/parms.mkinfit.R</code></a></small>
+ <small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/R/parms.R" class="external-link"><code>R/parms.R</code></a></small>
<div class="hidden name"><code>parms.Rd</code></div>
</div>
@@ -97,7 +100,10 @@ without considering the error structure that was assumed for the fit.</p>
<span><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, errparms <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span>
<span></span>
<span><span class="co"># S3 method for mmkin</span></span>
-<span><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, errparms <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, transformed <span class="op">=</span> <span class="cn">FALSE</span>, errparms <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span>
+<span></span>
+<span><span class="co"># S3 method for multistart</span></span>
+<span><span class="fu">parms</span><span class="op">(</span><span class="va">object</span>, exclude_failed <span class="op">=</span> <span class="cn">TRUE</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
</div>
<div id="arguments">
@@ -119,6 +125,11 @@ during the optimisation?</p></dd>
<dd><p>Should the error model parameters be returned
in addition to the degradation parameters?</p></dd>
+
+<dt>exclude_failed</dt>
+<dd><p>For <a href="multistart.html">multistart</a> objects, should rows for failed fits
+be removed from the returned parameter matrix?</p></dd>
+
</dl></div>
<div id="value">
<h2>Value</h2>
diff --git a/vignettes/web_only/multistart.html b/vignettes/web_only/multistart.html
index 5a91584c..00631aec 100644
--- a/vignettes/web_only/multistart.html
+++ b/vignettes/web_only/multistart.html
@@ -364,7 +364,7 @@ pre code {
<h1 class="title toc-ignore">Short demo of the multistart method</h1>
<h4 class="author">Johannes Ranke</h4>
-<h4 class="date">Last change 19 September 2022 (rebuilt 2022-09-19)</h4>
+<h4 class="date">Last change 19 September 2022 (rebuilt 2022-09-28)</h4>
</div>
@@ -393,7 +393,7 @@ parhist(f_saem_reduced_multi, lpos = &quot;topright&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<p>We can also analyse the log-likelihoods obtained in the multiple runs:</p>
<pre class="r"><code>llhist(f_saem_reduced_multi)</code></pre>
-<p><img src="data:image/png;base64,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" width="672" /></p>
+<p><img src="data:image/png;base64,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" width="672" /></p>
<p>The one run with the lower likelihood is probably responsible for the outliers in the boxplots above, and caused by some weird starting value combination. In any case, the converged values from the original fit (red circles) appear perfectly acceptable, supporting the choice of starting values made by mkin.</p>
diff --git a/vignettes/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png b/vignettes/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png
deleted file mode 100644
index 17168f74..00000000
--- a/vignettes/web_only/multistart_files/figure-html/unnamed-chunk-2-1.png
+++ /dev/null
Binary files differ
diff --git a/vignettes/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png b/vignettes/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png
deleted file mode 100644
index 17d99e4e..00000000
--- a/vignettes/web_only/multistart_files/figure-html/unnamed-chunk-3-1.png
+++ /dev/null
Binary files differ

Contact - Imprint