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| author | Johannes Ranke <jranke@uni-bremen.de> | 2018-01-30 10:49:07 +0100 |
|---|---|---|
| committer | Johannes Ranke <jranke@uni-bremen.de> | 2018-01-30 10:49:37 +0100 |
| commit | bd234377b7fa2ef056544a9299478b265d18d89f (patch) | |
| tree | d606286442820fbdda6124254fc633e35232e1c9 /docs/index.html | |
| parent | a37ba8f8898e4629dfc9d2558fc19a180551de2d (diff) | |
Add a note to the README about the new method
Diffstat (limited to 'docs/index.html')
| -rw-r--r-- | docs/index.html | 1 |
1 files changed, 1 insertions, 0 deletions
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 @@ <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> </div> |