From bd234377b7fa2ef056544a9299478b265d18d89f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 30 Jan 2018 10:49:07 +0100 Subject: Add a note to the README about the new method --- docs/index.html | 1 + 1 file changed, 1 insertion(+) (limited to 'docs') diff --git a/docs/index.html b/docs/index.html index 1eefd772..2f46d730 100644 --- a/docs/index.html +++ b/docs/index.html @@ -113,6 +113,7 @@
  • Summary and plotting functions. The summary of an mkinfit object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.
  • The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.
  • Iteratively reweighted least squares fitting is implemented in a similar way as in KinGUII and CAKE (see below). Simply add the argument 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.
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  • Iterative reweighting is also possible using the two-component error model for analytical data of Rocke and Lorenzato 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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