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, 3 insertions, 3 deletions

diff --git a/README.md b/README.md
index 26cdcafb..f3a0728b 100644
--- a/README.md
+++ b/README.md
@@ -89,9 +89,9 @@ and at [R-Forge](http://kinfit.r-forge.r-project.org/mkin_static/index.html).
   `reweight.method = "obs"` to your call to `mkinfit` 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.
-* Iterative reweighting is also possible using the two-component error model
-  for analytical data of
-  [Rocke and Lorenzato](https://pkgdown.jrwb.de/mkin/reference/sigma_rl.html)
+* Iterative reweighting is also possible using a two-component error model
+  for analytical data similar to the one proposed by
+  [Rocke and Lorenzato](https://pkgdown.jrwb.de/mkin/reference/sigma_twocomp.html)
   using the argument `reweight.method = "tc"`.
 * When a metabolite decline phase is not described well by SFO kinetics,
   SFORB kinetics can be used for the metabolite.