From 4596667b19f032232ceb8f3f762aaad5d69c15be Mon Sep 17 00:00:00 2001
From: Johannes Ranke <jranke@uni-bremen.de>
Date: Fri, 5 Jul 2019 15:57:24 +0200
Subject: Static documentation rebuilt by pkgdown

---
 docs/index.html | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

(limited to 'docs/index.html')

diff --git a/docs/index.html b/docs/index.html
index e3f3b376..85a0bbfc 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -37,7 +37,7 @@
       </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">0.9.49.5</span>
+        <span class="version label label-default" data-toggle="tooltip" data-placement="bottom" title="Released version">0.9.49.6</span>
       </span>
     </div>
 
@@ -130,9 +130,10 @@
 <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>Iteratively reweighted least squares fitting is implemented in a similar way as in KinGUII and CAKE (see below). Simply add the argument <code>reweight.method = "obs"</code> to your call to <code>mkinfit</code> and a separate variance componenent for each of the observed variables will be optimised in a second stage after the primary optimisation algorithm has converged.</li>
-<li>Iterative reweighting is also possible using a two-component error model for analytical data similar to the one proposed by <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">Rocke and Lorenzato</a> using the argument <code>reweight.method = "tc"</code>.</li>
 <li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.</li>
+<li>Three different error models can be selected using the argument <code>error_model</code> to the <a href="https://pkgdown.jrwb.de/mkin/reference/mkinfit.html"><code>mkinfit</code></a> function.</li>
+<li>Iteratively reweighted least squares fitting is now obsolete, and the variance by variable error model should now be specified as <code>error_model = "obs"</code>.</li>
+<li>A two-component error model similar to the one proposed by <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html">Rocke and Lorenzato</a> can be selected using the argument <code>error_model = "tc"</code>.</li>
 </ul>
 </div>
 <div id="gui" class="section level2">
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