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\name{RMmodelFit-class}
\docType{class}
\alias{RMmodelFit-class}
\alias{RM_modelFit-class}
\alias{[,RMmodelFit-method}
\alias{[,RMmodelFit,ANY,ANY-method}
\alias{[,RMmodelFit,ANY,ANY,ANY-method}
\alias{[<-,RMmodelFit-method}
\alias{[<-,RMmodelFit,ANY,ANY-method}
\alias{[<-,RMmodelFit,ANY,ANY,ANY-method}
\alias{show,RMmodelFit-method}
\alias{print,RMmodelFit-method}
\alias{anova,RMmodelFit-method}
\alias{summary,RMmodelFit-method}
\alias{print.RMmodelFit}
\alias{print.RM_modelFit}
\alias{anova.RM_modelFit}
\alias{summary.RM_modelFit}
\title{Class CLASS_FIT }
\description{ Extension of class \code{\link[=RMmodel-class]{RMmodel}}
which additionally contains
the likelihood of the data w.r.t. the covariance model represented by
the CLASS_CLIST part, the estimated trend of the data if it is a
constant trend, and the residuals of the data w.r.t. the model. Objects
of this class only occur as slots in the output of "RFfit".
}
%\usage{
%anova.RM_modelFit(object, ...)
%print.RM_modelFit(x, ...)
%summary.RM_modelFit(object, ..., isna.param)
%}
%\arguments{
% \item{object, x, ...}{
% see the respective generic function
% }
% \item{isna.param}{
% logical. Weather the vector of parameters should be considered as
% having \code{NA}s. In this case, not the parameters, but the
% internally used variables are reported.
% }
%
%}
\section{Creating Objects}{
Objects are only meant to be created by the function
\code{\link{RFfit}}.
}
\section{Slots}{
\describe{
\item{\code{model,formel}:}{See \code{\link[=RMmodel]{RMmodel}}.}
\item{\code{variab}:}{
vector of estimated variables. Variables
are used in the internal representation and
can be a subset of the parameters.
}
\item{\code{param}:}{
vector of estimated parameters
}
\item{\code{covariate}:}{
to do
}
\item{\code{globalvariance}:}{
to do
}
\item{\code{hessian}:}{
to do
}
\item{\code{likelihood}:}{numeric; the likelihood of the data
w.r.t. the covariance model}
\item{\code{AIC}:}{the AIC value for the ml estimation}
\item{\code{AICc}:}{the corrected AIC value for the ml estimation}
\item{\code{BIC}:}{the BIC value for the ml estimation}
\item{\code{residuals}:}{array or of class \code{\link[=RFsp-class]{RFsp}};
residuals of the data w.r.t. the trend model}
% \item{\code{call}:}{See \code{\link[=RMmodel-class]{RMmodel}}.}
% \item{\code{name}:}{See \code{\link[=RMmodel]{RMmodel}}.}
% \item{\code{par.model}:}{See \code{\link[=RMmodel]{RMmodel}}.}
% \item{\code{par.general}:}{See \code{\link[=RMmodel]{RMmodel}}.}
% \item{\code{trend}:}{numeric; the estimated mean of the data (if a
% constant mean was specified in the model)}
}
}
\section{Extends}{
Class \code{CLASS_CLIST}, directly.
}
\section{Methods}{
\describe{
\item{[}{\code{signature(x = CLASS_FIT)}: enables accessing
the slots via the \code{"["}-operator, e.g. \code{x["likelihood"]}}
\item{[<-}{\code{signature(x = CLASS_FIT)}: enables replacing
the slots via the \code{"["}-operator}
\item{show}{\code{signature(x = "RFfit")}: returns the structure
of \code{x}}
\item{print}{\code{signature(x = "RFfit")}: identical with
\command{show}-method}
\item{anova}{performs a likelihood ratio test base on a chisq approximation
}
\item{summary}{gives a summary}
}
}
%\section{Details}{
%}
\author{Alexander Malinowski; \martin}
\seealso{
\code{\link[=RMmodel-class]{RMmodel}},
\command{\link{RFfit}}.
}
\keyword{classes}
\keyword{print}
\keyword{hplot}
\examples{\dontshow{StartExample()}
# see RFfit
\dontshow{FinalizeExample()}}
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