From 7b333cff452dd1b36cb994c18b0b19e97facbc72 Mon Sep 17 00:00:00 2001 From: Johannes Ranke Date: Thu, 7 Sep 2017 08:32:41 +0200 Subject: Static documentation except articles rebuilt by pkgdown --- docs/index.html | 2 +- docs/reference/index.html | 2 +- docs/reference/plot.mkinfit-10.png | Bin 19456 -> 19640 bytes docs/reference/plot.mmkin-2.png | Bin 11258 -> 11215 bytes docs/reference/plot.mmkin-4.png | Bin 11349 -> 11308 bytes docs/reference/plot.mmkin-6.png | Bin 8386 -> 8312 bytes 6 files changed, 2 insertions(+), 2 deletions(-) (limited to 'docs') diff --git a/docs/index.html b/docs/index.html index 9898d6f5..dae43514 100644 --- a/docs/index.html +++ b/docs/index.html @@ -116,7 +116,7 @@
  • The usual one-sided t-test for significant difference from zero is nevertheless shown based on estimators for the untransformed parameters.
  • 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.
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  • Iteratively reweighted least squares fitting is implemented in a similar way as in KinGUII and CAKE (see below). Simply add the argument reweight = "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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  • 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.
  • When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.
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