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\name{summary.mcmc}
\alias{summary.mcmc}
\alias{summary.mcmc.list}
%\alias{print.summary.mcmc}
%\alias{print.summary.mcmc.list}
\title{Summary statistics for Markov Chain Monte Carlo chains}
\usage{
\method{summary}{mcmc}(object, quantiles = c(0.025, 0.25, 0.5, 0.75, 0.975), \dots)
}
\arguments{
\item{object}{an object of class \code{mcmc} or \code{mcmc.list}}
\item{quantiles}{a vector of quantiles to evaluate for each variable}
\item{\dots}{a list of further arguments}
}
\description{
\code{summary.mcmc} produces two sets of summary statistics for
each variable:
Mean, standard deviation, naive standard error of the mean
(ignoring autocorrelation of the chain) and time-series standard
error based on an estimate of the spectral density at 0.
Quantiles of the sample distribution using the \code{quantiles}
argument.
}
\author{Martyn Plummer}
\seealso{
\code{\link{mcmc}},
\code{\link{mcmc.list}}.
}
\keyword{univar}
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