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% $Id: recalc.varFunc.Rd,v 1.6 2002/03/05 14:59:39 bates Exp $
\name{recalc.varFunc}
\title{Recalculate for varFunc Object}
\usage{
\method{recalc}{varFunc}(object, conLin, \dots)
}
\alias{recalc.varFunc}
\alias{recalc.varIdent}
\arguments{
\item{object}{an object inheriting from class \code{varFunc},
representing a variance function structure.}
\item{conLin}{a condensed linear model object, consisting of a list
with components \code{"Xy"}, corresponding to a regression matrix
(\code{X}) combined with a response vector (\code{y}), and
\code{"logLik"}, corresponding to the log-likelihood of the
underlying model.}
\item{\dots}{some methods for this generic require additional
arguments. None are used in this method.}
}
\description{
This method function pre-multiples the \code{"Xy"} component of
\code{conLin} by a diagonal matrix with diagonal elements given by the
weights corresponding to the variance structure represented by
\code{object}e and adds the log-likelihood contribution of
\code{object}, given by \code{logLik(object)}, to the \code{"logLik"}
component of \code{conLin}.
}
\value{
the recalculated condensed linear model object.
}
\author{Jose Pinheiro \email{Jose.Pinheiro@pharma.novartis.com} and Douglas Bates \email{bates@stat.wisc.edu}}
\note{This method function is only used inside model fitting functions,
such as \code{lme} and \code{gls}, that allow heteroscedastic error
terms.}
\seealso{
\code{\link{recalc}},
\code{\link{varWeights}},
\code{\link{logLik.varFunc}}}
\keyword{models}
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