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authorJohannes Ranke <jranke@uni-bremen.de>2022-05-18 21:26:17 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2022-05-18 21:26:17 +0200
commit91c5db736a4d3f2290a0cc5698fb4e35ae7bda59 (patch)
tree8e9e34d18f055936172329c1248e6e2ff136bff9 /docs/index.html
parentea57db98cef3fb882f7bd9656b44f270e7bded38 (diff)
Remove outdated comment in FOCUS L vignette, update docs
This also adds the first benchmark results obtained on my laptop system
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1 files changed, 8 insertions, 17 deletions
diff --git a/docs/index.html b/docs/index.html
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@@ -151,7 +151,7 @@
<li>The usual one-sided t-test for significant difference from zero is nevertheless shown based on estimators for the untransformed parameters.</li>
<li>Summary and plotting functions. The <code>summary</code> of an <code>mkinfit</code> object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.</li>
<li>The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.</li>
-<li>The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) should now be specified as <code>error_model = "obs"</code>.</li>
+<li>The ‘variance by variable’ error model which is often fitted using Iteratively Reweighted Least Squares (IRLS) can be specified as <code>error_model = "obs"</code>.</li>
</ul>
</div>
<div class="section level3">
@@ -214,21 +214,12 @@
<h2 id="references">References<a class="anchor" aria-label="anchor" href="#references"></a>
</h2>
<table class="table">
-<tr>
-<td>
-Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. <i>Environments</i> <b>8</b> (8) 71 <a href="https://doi.org/10.3390/environments8080071" class="external-link">doi:10.3390/environments8080071</a>
-</td>
-</tr>
-<tr>
-<td>
-Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data <i>Environments</i> <b>6</b> (12) 124 <a href="https://doi.org/10.3390/environments6120124" class="external-link">doi:10.3390/environments6120124</a>
-</td>
-</tr>
-<tr>
-<td>
-Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic evaluation of chemical degradation data <i>Environmental Sciences Europe</i> <b>30</b> 17 <a href="https://doi.org/10.1186/s12302-018-0145-1" class="external-link">doi:10.1186/s12302-018-0145-1</a>
-</td>
-</tr>
+<tr><td>Ranke J, Wöltjen J, Schmidt J, and Comets E (2021) Taking kinetic evaluations of degradation data to the next level with nonlinear mixed-effects models. <i>Environments</i> <b>8</b> (8) 71 <a href="https://doi.org/10.3390/environments8080071" class="external-link">doi:10.3390/environments8080071</a>
+</td></tr>
+<tr><td>Ranke J, Meinecke S (2019) Error Models for the Kinetic Evaluation of Chemical Degradation Data <i>Environments</i> <b>6</b> (12) 124 <a href="https://doi.org/10.3390/environments6120124" class="external-link">doi:10.3390/environments6120124</a>
+</td></tr>
+<tr><td>Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic evaluation of chemical degradation data <i>Environmental Sciences Europe</i> <b>30</b> 17 <a href="https://doi.org/10.1186/s12302-018-0145-1" class="external-link">doi:10.1186/s12302-018-0145-1</a>
+</td></tr>
</table>
</div>
<div class="section level2">
@@ -292,7 +283,7 @@ Ranke J, Wöltjen J, Meinecke S (2018) Comparison of software tools for kinetic
<div class="pkgdown">
<p></p>
-<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.2.</p>
+<p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.3.</p>
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