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authorJohannes Ranke <jranke@uni-bremen.de>2018-11-26 09:32:07 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2018-11-26 09:32:07 +0100
commit62e66eb483aef4edcfd839e475354ef1ddb9e49f (patch)
tree54d380b8a971eeea546520b7d8af641d17906a14 /man
parent3621588c04cbaa393ba62c97137f6aec746d114f (diff)
Static documentation rebuilt by pkgdown
Diffstat (limited to 'man')
-rw-r--r--man/logLik.mkinfit.Rd20
1 files changed, 19 insertions, 1 deletions
diff --git a/man/logLik.mkinfit.Rd b/man/logLik.mkinfit.Rd
index 2f911d5b..78c4e4c2 100644
--- a/man/logLik.mkinfit.Rd
+++ b/man/logLik.mkinfit.Rd
@@ -5,7 +5,25 @@
}
\description{
This function simply calculates the product of the likelihood densities
- calc
+ calculated using \code{\link{dnorm}}, i.e. assuming normal distribution.
+
+ The total number of estimated parameters returned with the value
+ of the likelihood is calculated as the sum of fitted degradation
+ model parameters and the fitted error model parameters.
+
+ For the case of unweighted least squares fitting, we calculate one
+ constant standard deviation from the residuals using \code{\link{sd}}
+ and add one to the number of fitted degradation model parameters.
+
+ For the case of manual weighting, we use the weight given for each
+ observation as standard deviation in calculating its likelihood.
+
+ In the case of iterative reweighting, the variances obtained by this
+ procedure are used in the likelihood calculations, and the number of
+ estimated parameters is obtained by the number of degradation model
+ parameters plus the number of variance model parameters, i.e. the number of
+ observed variables if the reweighting method is "obs", and two if the
+ reweighting method is "tc".
}
\usage{
\method{logLik}{mkinfit}(object, ...)

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