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\name{updateMu}
\title{Update 'mu', the Fitted Mean Response}
\alias{updateMu}
\alias{updateMu-methods}
\alias{updateMu,glmRespMod,numeric-method}
\alias{updateMu,nglmRespMod,numeric-method}
\alias{updateMu,nlsRespMod,numeric-method}
\alias{updateMu,respModule,numeric-method}
\usage{
updateMu(respM, gamma, \dots)
}
\arguments{
\item{respM}{a response module, see the
\code{\linkS4class{respModule}} class.}
\item{gamma}{the value of the linear predictor before adding the offset}
\item{\dots}{potentially further arguments used in methods; not used
currently.}
}
\description{
Updates the mean vector \eqn{\mu} given the linear predictor
\eqn{\gamma}. Evaluate the residuals and the weighted sum of squared
residuals.
}
\details{
Note that the offset is added to the linear predictor before
calculating mu.
The sqrtXwt matrix can be updated but the sqrtrwt should not be in
that the weighted sum of squared residuals should be calculated
relative to fixed weights. Reweighting is done in a separate call.
}
\value{updated \code{respM}}
\section{Methods}{
\describe{
\item{\code{signature(respM = "glmRespMod", gamma = "numeric")}}{ .. }
\item{\code{signature(respM = "nglmRespMod", gamma = "numeric")}}{ .. }
\item{\code{signature(respM = "nlsRespMod", gamma = "numeric")}}{ .. }
\item{\code{signature(respM = "respModule", gamma = "numeric")}}{ .. }
}
}
% \references{
% }
\seealso{
The \code{\linkS4class{respModule}} class (and specific subclasses);
\code{\link{glm4}}.
}
\examples{
## TODO
}
\keyword{regression}
\keyword{methods}
|
