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authorJohannes Ranke <jranke@uni-bremen.de>2022-03-07 12:03:40 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2022-03-07 14:55:21 +0100
commit7035cde3a53781721fe15a8893fdf328c789bdd2 (patch)
treea1e4929faf9d645caedc0ed4dcc5036252497c63 /docs/reference/confint.mkinfit.html
parent77c248ca40b82ec00a756cd82f12968131f78959 (diff)
Remove nlmixr interface for release of mkin 1.1.0
I am postponing my attempts to get the nlmixr interface to CRAN, given some problems with nlmixr using R-devel under Windows, see https://github.com/nlmixrdevelopment/nlmixr/issues/596 and https://github.com/r-hub/rhub/issues/512, which is fixed by the removal of nlmixr from the testsuite. For the tests to be more platform independent, the biphasic mixed effects models test dataset was defined in a way that fitting should be more robust (less ill-defined).
Diffstat (limited to 'docs/reference/confint.mkinfit.html')
-rw-r--r--docs/reference/confint.mkinfit.html6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html
index a57164cc..806e94ca 100644
--- a/docs/reference/confint.mkinfit.html
+++ b/docs/reference/confint.mkinfit.html
@@ -33,7 +33,7 @@ method of Venzon and Moolgavkar (1988)."><!-- mathjax --><script src="https://cd
<a href="../reference/index.html">Functions and data</a>
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<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
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@@ -206,7 +206,7 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
<span class="r-in"><span class="va">f_d_1</span> <span class="op">&lt;-</span> <span class="fu"><a href="mkinfit.html">mkinfit</a></span><span class="op">(</span><span class="va">SFO_SFO</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">FOCUS_2006_D</span>, <span class="va">value</span> <span class="op">!=</span> <span class="fl">0</span><span class="op">)</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
<span class="r-in"><span class="fu"><a href="https://rdrr.io/r/base/system.time.html" class="external-link">system.time</a></span><span class="op">(</span><span class="va">ci_profile</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/confint.html" class="external-link">confint</a></span><span class="op">(</span><span class="va">f_d_1</span>, method <span class="op">=</span> <span class="st">"profile"</span>, cores <span class="op">=</span> <span class="fl">1</span>, quiet <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span><span class="op">)</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> user system elapsed </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3.933 0.000 3.934 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4.361 0.964 3.998 </span>
<span class="r-in"><span class="co"># Using more cores does not save much time here, as parent_0 takes up most of the time</span></span>
<span class="r-in"><span class="co"># If we additionally exclude parent_0 (the confidence of which is often of</span></span>
<span class="r-in"><span class="co"># minor interest), we get a nice performance improvement if we use at least 4 cores</span></span>
@@ -214,7 +214,7 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
<span class="r-in"> <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">"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="op">)</span>, cores <span class="op">=</span> <span class="va">n_cores</span><span class="op">)</span><span class="op">)</span></span>
<span class="r-msg co"><span class="r-pr">#&gt;</span> Profiling the likelihood</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> user system elapsed </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1.496 0.172 0.968 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1.473 0.118 0.917 </span>
<span class="r-in"><span class="va">ci_profile</span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 2.5% 97.5%</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> parent_0 96.456003640 1.027703e+02</span>

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