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authorRanke Johannes <johannes.ranke@agroscope.admin.ch>2023-10-30 17:09:21 +0100
committerRanke Johannes <johannes.ranke@agroscope.admin.ch>2023-10-30 17:09:21 +0100
commitb7901aac76df753ec1213cb02bebea055965ee87 (patch)
treee907e87d81aa07f19e8387acca612026337add75 /docs/reference/confint.mkinfit.html
parent193b46af027c7b30abf7cf215d77517370e5fb2c (diff)
Update static docs
Diffstat (limited to 'docs/reference/confint.mkinfit.html')
-rw-r--r--docs/reference/confint.mkinfit.html9
1 files changed, 6 insertions, 3 deletions
diff --git a/docs/reference/confint.mkinfit.html b/docs/reference/confint.mkinfit.html
index 33c4a939..48240abc 100644
--- a/docs/reference/confint.mkinfit.html
+++ b/docs/reference/confint.mkinfit.html
@@ -24,7 +24,7 @@ method of Venzon and Moolgavkar (1988)."><!-- mathjax --><script src="https://cd
</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">1.2.4</span>
+ <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.6</span>
</span>
</div>
@@ -61,6 +61,9 @@ method of Venzon and Moolgavkar (1988)."><!-- mathjax --><script src="https://cd
<a href="../articles/prebuilt/2022_dmta_pathway.html">Testing hierarchical pathway kinetics with residue data on dimethenamid and dimethenamid-P</a>
</li>
<li>
+ <a href="../articles/prebuilt/2023_mesotrione_parent.html">Testing covariate modelling in hierarchical parent degradation kinetics with residue data on mesotrione</a>
+ </li>
+ <li>
<a href="../articles/prebuilt/2022_cyan_pathway.html">Testing hierarchical pathway kinetics with residue data on cyantraniliprole</a>
</li>
<li>
@@ -254,7 +257,7 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
<span class="r-in"><span><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>
<span class="r-in"><span><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>
<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> 1.086 0.000 1.086 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2.578 0.005 2.599 </span>
<span class="r-in"><span><span class="co"># Using more cores does not save much time here, as parent_0 takes up most of the time</span></span></span>
<span class="r-in"><span><span class="co"># If we additionally exclude parent_0 (the confidence of which is often of</span></span></span>
<span class="r-in"><span><span class="co"># minor interest), we get a nice performance improvement if we use at least 4 cores</span></span></span>
@@ -262,7 +265,7 @@ Profile-Likelihood Based Confidence Intervals, Applied Statistics, 37,
<span class="r-in"><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">"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>
<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> 0.396 0.065 0.263 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.963 0.255 0.636 </span>
<span class="r-in"><span><span class="va">ci_profile</span></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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