\name{reweight}

\alias{reweight}

\alias{reweight.linearModel}

\alias{reweight.glinearModel}

\title{Re-fitting Models with New Weights}

\description{

 Generic function for re-fitting a model object using the same

 observations but different weights.

}

\usage{

reweight(object, weights, \dots)

}

\arguments{

 \item{object}{a fitted model object.}

 \item{weights}{a vector of weights.}

 \item{\dots}{arguments passed to methods.}

}

\details{

  The method is not unsimilar in spirit to \code{\link[stats]{update}}, but

  much more narrowly focused. It should return an updated fitted model 

  derived from re-fitting the model on the same observations but using

  different weights.

}

\value{The re-weighted fitted model object.}

\seealso{\code{\link{update}}}

\examples{

  ## fit cars regression

  mf <- dpp(linearModel, dist ~ speed, data = cars)

  fm <- fit(linearModel, mf)

  fm

  ## re-fit, excluding the last 4 observations

  ww <- c(rep(1, 46), rep(0, 4))

  reweight(fm, ww)

}

\keyword{regression}