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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 /docs/index.html
parenta37ba8f8898e4629dfc9d2558fc19a180551de2d (diff)
Add a note to the README about the new method
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<li>Summary and plotting functions. The <code>summary</code> of an <code>mkinfit</code> object is in fact a full report that should give enough information to be able to approximately reproduce the fit with other tools.</li>
<li>The chi-squared error level as defined in the FOCUS kinetics guidance (see below) is calculated for each observed variable.</li>
<li>Iteratively reweighted least squares fitting is implemented in a similar way as in KinGUII and CAKE (see below). Simply add the argument <code>reweight.method = "obs"</code> to your call to <code>mkinfit</code> 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.</li>
+<li>Iterative reweighting is also possible using the two-component error model for analytical data of <a href="http://kinfit.r-forge.r-project.org/mkin_static/reference/sigma_rl.html">Rocke and Lorenzato</a> using the argument <code>reweight.method = "tc"</code>.</li>
<li>When a metabolite decline phase is not described well by SFO kinetics, SFORB kinetics can be used for the metabolite.</li>
</ul>
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