From b7901aac76df753ec1213cb02bebea055965ee87 Mon Sep 17 00:00:00 2001
From: Ranke Johannes <johannes.ranke@agroscope.admin.ch>
Date: Mon, 30 Oct 2023 17:09:21 +0100
Subject: Update static docs

---
 docs/reference/confint.mkinfit.html | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

(limited to 'docs/reference/confint.mkinfit.html')

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>
 
@@ -60,6 +60,9 @@ method of Venzon and Moolgavkar (1988)."><!-- mathjax --><script src="https://cd
     <li>
       <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>
@@ -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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