aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
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
parenta37ba8f8898e4629dfc9d2558fc19a180551de2d (diff)
Add a note to the README about the new method
-rw-r--r--README.md4
-rw-r--r--docs/index.html1
2 files changed, 5 insertions, 0 deletions
diff --git a/README.md b/README.md
index af933f66..4ff631f6 100644
--- a/README.md
+++ b/README.md
@@ -89,6 +89,10 @@ and at [R-Forge](http://kinfit.r-forge.r-project.org/mkin_static/index.html).
`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.
+* Iterative reweighting is also possible using the two-component error model
+ for analytical data of
+ [Rocke and Lorenzato](http://kinfit.r-forge.r-project.org/mkin_static/reference/sigma_rl.html)
+ 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.
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>

Contact - Imprint