From 3147a8c1ec1aa81097bd9897b33b703ae3a5d20f Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Tue, 30 Jan 2018 11:06:33 +0100 Subject: Improve documentation of Rocke and Lorenzato model Static documentation except articles rebuilt by pkgdown --- README.html | 1 + 1 file changed, 1 insertion(+) (limited to 'README.html') diff --git a/README.html b/README.html index f4999a38..b3ba4ce1 100644 --- a/README.html +++ b/README.html @@ -153,6 +153,7 @@ $(document).ready(function () {
  • 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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