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\name{summary.MclustBootstrap}
\alias{summary.MclustBootstrap}
\alias{print.summary.MclustBootstrap}
\title{Summary Function for Bootstrap Inference for Gaussian Finite Mixture Models}
\description{Summary of bootstrap distribution for the parameters of a Gaussian mixture model providing either standard errors or percentile bootstrap confidence intervals.}
\usage{
\method{summary}{MclustBootstrap}(object, what = c("se", "ci", "ave"), conf.level = 0.95, \dots)
}
\arguments{
\item{object}{An object of class \code{'MclustBootstrap'} as returned by \code{\link{MclustBootstrap}}.}
\item{what}{A character string: \code{"se"} for the standard errors; \code{"ci"} for the confidence intervals; \code{"ave"} for the averages.}
\item{conf.level}{A value specifying the confidence level of the interval.}
\item{\dots}{Further arguments passed to or from other methods.}
}
\details{For details about the procedure used to obtain the bootstrap distribution see \code{\link{MclustBootstrap}}.}
%\value{}
\seealso{\code{\link{MclustBootstrap}}.}
\examples{
\donttest{
data(diabetes)
X = diabetes[,-1]
modClust = Mclust(X)
bootClust = MclustBootstrap(modClust)
summary(bootClust, what = "se")
summary(bootClust, what = "ci")
data(acidity)
modDens = densityMclust(acidity, plot = FALSE)
modDens = MclustBootstrap(modDens)
summary(modDens, what = "se")
summary(modDens, what = "ci")
}
}
\keyword{htest}
\keyword{cluster}
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