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authorJohannes Ranke <jranke@uni-bremen.de>2019-10-25 00:37:42 +0200
committerJohannes Ranke <jranke@uni-bremen.de>2019-10-25 02:03:54 +0200
commit0a3eb0893cb4bd1b12f07a79069d1c7f5e991495 (patch)
tree1bf0ffeb710b3438fee224d0a657606b4c36b495 /man/logLik.mkinfit.Rd
parent053bf27d3f265c7a7378e2df3e00cf891e0d1bb2 (diff)
Use roxygen for functions and methods
Diffstat (limited to 'man/logLik.mkinfit.Rd')
-rw-r--r--man/logLik.mkinfit.Rd54
1 files changed, 27 insertions, 27 deletions
diff --git a/man/logLik.mkinfit.Rd b/man/logLik.mkinfit.Rd
index 5e910c2e..bb2c2957 100644
--- a/man/logLik.mkinfit.Rd
+++ b/man/logLik.mkinfit.Rd
@@ -1,39 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/logLik.mkinfit.R
\name{logLik.mkinfit}
\alias{logLik.mkinfit}
-\title{
- Calculated the log-likelihood of a fitted mkinfit object
-}
-\description{
- This function simply calculates the product of the likelihood densities
- calculated using \code{\link{dnorm}}, i.e. assuming normal distribution,
- with of the mean predicted by the degradation model, and the
- standard deviation predicted by the error model.
-
- 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.
-}
+\title{Calculated the log-likelihood of a fitted mkinfit object}
\usage{
- \method{logLik}{mkinfit}(object, ...)
+\method{logLik}{mkinfit}(object, ...)
}
\arguments{
- \item{object}{
- An object of class \code{\link{mkinfit}}.
- }
- \item{\dots}{
- For compatibility with the generic method
- }
+\item{object}{An object of class \code{\link{mkinfit}}.}
+
+\item{\dots}{For compatibility with the generic method}
}
\value{
- An object of class \code{\link{logLik}} with the number of
- estimated parameters (degradation model parameters plus variance
- model parameters) as attribute.
+An object of class \code{\link{logLik}} with the number of estimated
+ parameters (degradation model parameters plus variance model parameters)
+ as attribute.
}
-\seealso{
- Compare the AIC of columns of \code{\link{mmkin}} objects using
- \code{\link{AIC.mmkin}}.
+\description{
+This function simply calculates the product of the likelihood densities
+calculated using \code{\link{dnorm}}, i.e. assuming normal distribution,
+with of the mean predicted by the degradation model, and the standard
+deviation predicted by the error model.
+}
+\details{
+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.
}
\examples{
+
\dontrun{
sfo_sfo <- mkinmod(
parent = mkinsub("SFO", to = "m1"),
@@ -45,7 +40,12 @@
f_tc <- mkinfit(sfo_sfo, d_t, error_model = "tc", quiet = TRUE)
AIC(f_nw, f_obs, f_tc)
}
+
+}
+\seealso{
+Compare the AIC of columns of \code{\link{mmkin}} objects using
+ \code{\link{AIC.mmkin}}.
}
\author{
- Johannes Ranke
+Johannes Ranke
}

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