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authorJohannes Ranke <jranke@uni-bremen.de>2018-07-18 15:18:30 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2018-07-18 15:58:46 +0200
commit0b98c459c30a0629a728acf6b311de035c55fb64 (patch)
treef146faf4802da38862aa14b0268265f3fad9ba34 /man/mkinfit.Rd
parentd3ed95f2a0a43ed74b02ea90e35d043ed4e1e72f (diff)
Correct references to the Rocke and Lorenzato model
Rename 'sigma_rl' to 'sigma_twocomp' as the Rocke and Lorenzato model assumes lognormal distribution for large y. Rebuild static documentation.
Diffstat (limited to 'man/mkinfit.Rd')
-rw-r--r--man/mkinfit.Rd9
1 files changed, 6 insertions, 3 deletions
diff --git a/man/mkinfit.Rd b/man/mkinfit.Rd
index 32edb28b..0f06b321 100644
--- a/man/mkinfit.Rd
+++ b/man/mkinfit.Rd
@@ -212,11 +212,14 @@ mkinfit(mkinmod, observed,
\code{reweight.tol} or up to the maximum number of iterations
specified by \code{reweight.max.iter}.
The second reweighting method is called "tc" (two-component error model).
- When using this method, the two components of the error model according
- to Rocke and Lorenzato (1995) are estimated from the fit and the resulting
+ When using this method, the two components an error model similar to
+ Rocke and Lorenzato (1995) are estimated from the fit and the resulting
variances are used for weighting the residuals in each iteration until
convergence of these components or up to the maximum number of iterations
- specified.
+ specified. Note that this method deviates from the model by Rocke and
+ Lorenzato, as their model implies that the errors follow a lognormal
+ distribution for large values, not a normal distribution as assumed by this
+ method.
}
\item{reweight.tol}{
Tolerance for convergence criterion for the variance components

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