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authorJohannes Ranke <jranke@uni-bremen.de>2018-01-30 10:49:07 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2018-01-30 10:49:37 +0100
commitbd234377b7fa2ef056544a9299478b265d18d89f (patch)
treed606286442820fbdda6124254fc633e35232e1c9 /README.md
parenta37ba8f8898e4629dfc9d2558fc19a180551de2d (diff)
Add a note to the README about the new method
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@@ -89,6 +89,10 @@ 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](http://kinfit.r-forge.r-project.org/mkin_static/reference/sigma_rl.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.

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