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-rw-r--r--docs/articles/web_only/benchmarks.html104
1 files changed, 91 insertions, 13 deletions
diff --git a/docs/articles/web_only/benchmarks.html b/docs/articles/web_only/benchmarks.html
index 315ad54e..5d6fb6e2 100644
--- a/docs/articles/web_only/benchmarks.html
+++ b/docs/articles/web_only/benchmarks.html
@@ -33,7 +33,7 @@
</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>
@@ -74,6 +74,9 @@
<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>
@@ -134,7 +137,7 @@
Ranke</h4>
<h4 data-toc-skip class="date">Last change 17 February 2023
-(rebuilt 2023-05-19)</h4>
+(rebuilt 2023-10-30)</h4>
<small class="dont-index">Source: <a href="https://github.com/jranke/mkin/blob/HEAD/vignettes/web_only/benchmarks.rmd" class="external-link"><code>vignettes/web_only/benchmarks.rmd</code></a></small>
<div class="hidden name"><code>benchmarks.rmd</code></div>
@@ -231,7 +234,15 @@ systems. All trademarks belong to their respective owners.</p>
</h3>
<p>Constant variance (t1) and two-component error model (t2) for four
models fitted to two datasets, i.e. eight fits for each test.</p>
-<table class="table">
+<table style="width:100%;" class="table">
+<colgroup>
+<col width="8%">
+<col width="54%">
+<col width="8%">
+<col width="12%">
+<col width="8%">
+<col width="9%">
+</colgroup>
<thead><tr class="header">
<th align="left">OS</th>
<th align="left">CPU</th>
@@ -433,6 +444,22 @@ models fitted to two datasets, i.e. eight fits for each test.</p>
<td align="right">1.386</td>
<td align="right">1.960</td>
</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz</td>
+<td align="left">4.3.1</td>
+<td align="left">1.2.5</td>
+<td align="right">2.369</td>
+<td align="right">3.632</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz</td>
+<td align="left">4.3.1</td>
+<td align="left">1.2.6</td>
+<td align="right">2.856</td>
+<td align="right">4.960</td>
+</tr>
</tbody>
</table>
</div>
@@ -443,6 +470,15 @@ models fitted to two datasets, i.e. eight fits for each test.</p>
by variable (t5) for three models fitted to one dataset, i.e. three fits
for each test.</p>
<table class="table">
+<colgroup>
+<col width="7%">
+<col width="50%">
+<col width="7%">
+<col width="11%">
+<col width="7%">
+<col width="8%">
+<col width="7%">
+</colgroup>
<thead><tr class="header">
<th align="left">OS</th>
<th align="left">CPU</th>
@@ -669,6 +705,24 @@ for each test.</p>
<td align="right">2.080</td>
<td align="right">1.106</td>
</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz</td>
+<td align="left">4.3.1</td>
+<td align="left">1.2.5</td>
+<td align="right">1.823</td>
+<td align="right">5.555</td>
+<td align="right">2.404</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz</td>
+<td align="left">4.3.1</td>
+<td align="left">1.2.6</td>
+<td align="right">1.761</td>
+<td align="right">5.405</td>
+<td align="right">2.462</td>
+</tr>
</tbody>
</table>
</div>
@@ -678,18 +732,18 @@ for each test.</p>
<p>Constant variance (t6 and t7), two-component error model (t8 and t9),
and variance by variable (t10 and t11) for one model fitted to one
dataset, i.e. one fit for each test.</p>
-<table class="table">
+<table style="width:100%;" class="table">
<colgroup>
+<col width="5%">
+<col width="40%">
+<col width="5%">
<col width="8%">
-<col width="19%">
-<col width="8%">
-<col width="12%">
-<col width="8%">
-<col width="8%">
-<col width="8%">
-<col width="9%">
-<col width="8%">
-<col width="9%">
+<col width="5%">
+<col width="5%">
+<col width="5%">
+<col width="6%">
+<col width="5%">
+<col width="6%">
</colgroup>
<thead><tr class="header">
<th align="left">OS</th>
@@ -992,6 +1046,30 @@ dataset, i.e. one fit for each test.</p>
<td align="right">0.712</td>
<td align="right">0.948</td>
</tr>
+<tr class="odd">
+<td align="left">Linux</td>
+<td align="left">Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz</td>
+<td align="left">4.3.1</td>
+<td align="left">1.2.5</td>
+<td align="right">0.798</td>
+<td align="right">1.096</td>
+<td align="right">1.217</td>
+<td align="right">3.173</td>
+<td align="right">1.634</td>
+<td align="right">2.271</td>
+</tr>
+<tr class="even">
+<td align="left">Linux</td>
+<td align="left">Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz</td>
+<td align="left">4.3.1</td>
+<td align="left">1.2.6</td>
+<td align="right">0.813</td>
+<td align="right">1.136</td>
+<td align="right">1.220</td>
+<td align="right">3.114</td>
+<td align="right">1.598</td>
+<td align="right">2.255</td>
+</tr>
</tbody>
</table>
</div>

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