From 0b98c459c30a0629a728acf6b311de035c55fb64 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Wed, 18 Jul 2018 15:18:30 +0200 Subject: 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. --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'README.md') 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. -- cgit v1.2.1