Correct references to the Rocke and Lorenzato model

Rename 'sigma_rl' to 'sigma_twocomp' as the Rocke and Lorenzato model assumes lognormal distribution for large y.
Rebuild static documentation.

1 files changed, 1 insertions, 1 deletions

diff --git a/README.html b/README.html
index c9f86c6b..f71dcfbc 100644
--- a/README.html
+++ b/README.html
@@ -155,7 +155,7 @@ $(document).ready(function () {
 <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 = &quot;obs&quot;</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 the two-component error model for analytical data of <a href="https://pkgdown.jrwb.de/mkin/reference/sigma_rl.html">Rocke and Lorenzato</a> using the argument <code>reweight.method = &quot;tc&quot;</code>.</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 = &quot;tc&quot;</code>.</li>
 <li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.</li>
 </ul>
 </div>