Complete update of online docs for v1.2.0

1 files changed, 29 insertions, 12 deletions

diff --git a/docs/reference/mean_degparms.html b/docs/reference/mean_degparms.html
index bea9f2d8..dedb8660 100644
--- a/docs/reference/mean_degparms.html
+++ b/docs/reference/mean_degparms.html
@@ -17,7 +17,7 @@
       </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">1.1.0</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">1.2.0</span>
       </span>
     </div>
 
@@ -44,19 +44,25 @@
       <a href="../articles/web_only/dimethenamid_2018.html">Example evaluations of dimethenamid data from 2018 with nonlinear mixed-effects models</a>
     </li>
     <li>
-      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+      <a href="../articles/web_only/multistart.html">Short demo of the multistart method</a>
     </li>
     <li>
       <a href="../articles/web_only/compiled_models.html">Performance benefit by using compiled model definitions in mkin</a>
     </li>
     <li>
+      <a href="../articles/web_only/FOCUS_Z.html">Example evaluation of FOCUS Example Dataset Z</a>
+    </li>
+    <li>
       <a href="../articles/twa.html">Calculation of time weighted average concentrations with mkin</a>
     </li>
     <li>
       <a href="../articles/web_only/NAFTA_examples.html">Example evaluation of NAFTA SOP Attachment examples</a>
     </li>
     <li>
-      <a href="../articles/web_only/benchmarks.html">Some benchmark timings</a>
+      <a href="../articles/web_only/benchmarks.html">Benchmark timings for mkin</a>
+    </li>
+    <li>
+      <a href="../articles/web_only/saem_benchmarks.html">Benchmark timings for saem.mmkin</a>
     </li>
   </ul></li>
 <li>
@@ -87,36 +93,47 @@
     </div>
 
     <div id="ref-usage">
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="fu">mean_degparms</span><span class="op">(</span>
-  <span class="va">object</span>,
-  random <span class="op">=</span> <span class="cn">FALSE</span>,
-  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,
-  conf.level <span class="op">=</span> <span class="fl">0.6</span>,
-  default_log_parms <span class="op">=</span> <span class="cn">NA</span>
-<span class="op">)</span></code></pre></div>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">mean_degparms</span><span class="op">(</span></span>
+<span>  <span class="va">object</span>,</span>
+<span>  random <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  test_log_parms <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  conf.level <span class="op">=</span> <span class="fl">0.6</span>,</span>
+<span>  default_log_parms <span class="op">=</span> <span class="cn">NA</span></span>
+<span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div id="arguments">
     <h2>Arguments</h2>
     <dl><dt>object</dt>
 <dd><p>An mmkin row object containing several fits of the same model to different datasets</p></dd>
+
+
 <dt>random</dt>
 <dd><p>Should a list with fixed and random effects be returned?</p></dd>
+
+
 <dt>test_log_parms</dt>
 <dd><p>If TRUE, log parameters are only considered in
 the mean calculations if their untransformed counterparts (most likely
 rate constants) pass the t-test for significant difference from zero.</p></dd>
+
+
 <dt>conf.level</dt>
 <dd><p>Possibility to adjust the required confidence level
 for parameter that are tested if requested by 'test_log_parms'.</p></dd>
+
+
 <dt>default_log_parms</dt>
 <dd><p>If set to a numeric value, this is used
 as a default value for the tested log parameters that failed the
 t-test.</p></dd>
+
 </dl></div>
     <div id="value">
     <h2>Value</h2>
-    <p>If random is FALSE (default), a named vector containing mean values
+    
+
+<p>If random is FALSE (default), a named vector containing mean values
 of the fitted degradation model parameters. If random is TRUE, a list with
 fixed and random effects, in the format required by the start argument of
 nlme for the case of a single grouping variable ds.</p>
@@ -134,7 +151,7 @@ nlme for the case of a single grouping variable ds.</p>
 </div>
 
 <div class="pkgdown">
-  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.3.</p>
+  <p></p><p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.0.6.</p>
 </div>
 
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