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\name{rb.lmRob}
\alias{rb.lmRob}
\title{Robust Bootstrap Standard Errors}
\description{
Computes a robust bootstrap estimate of the standard error for each coefficient estimate in a robustly fitted linear model. This function is called by \code{\link{summary.lmRob}} and is not intended to be called directly by users.
}
\usage{
rb.lmRob(lmRob.object, M = 1000, seed = 99, fixed = TRUE)
}
\arguments{
\item{lmRob.object}{an lmRob object.}
\item{M}{a positive integer giving the number of bootstrap subsamples.}
\item{seed}{a positive integer specifying the seed for the random number generator.}
\item{fixed}{a logical value. This should be set to \code{TRUE}.}
}
\value{
a numeric vector of robust bootstrap standard error estimates.
}
\seealso{
\code{\link{lmRob}},
\code{\link{summary.lmRob}}.
}
\keyword{robust}
\keyword{regression}
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