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\name{gammaRob}
\alias{gammaRob}
\title{Robust Estimation of Gamma Distribution Parameters}
\description{
Robust estimation of gamma distribution parameters
}
\usage{
gammaRob(x, estim = c("M", "tdmean"), control = gammaRob.control(estim, \dots), \dots)
}
\arguments{
\item{x}{a numeric vector containing the sample.}
\item{estim}{a character string specifying which estimator to use.}
\item{control}{a list of control parameters appropriate for the estimator in \code{estim}.}
\item{\dots}{control parameters may also be given here.}
}
\value{
a list with class \dQuote{fitdstn} containing the following elements:
\item{estimate}{a named numeric vector containing the parameter estimates.}
\item{sd}{a named numeric vector containing the standard deviations of the parameter estimates.}
\item{vcov}{a numeric matrix containing the variance-covariance matrix of the estimated parameter vector.}
\item{mu}{a single numeric value containing an estimate of the mean.}
\item{V.mu}{a single numeric value containing the variance of the estimated mean.}
\item{control}{a list containing the control parameters used by the estimator.}
The \code{print} method displays the estimated parameters and their standard errors (in parentheses).
}
\seealso{
\code{\link{gammaRob.control}}, \code{\link{fitdstnRob}}.
}
\keyword{robust}
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