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\name{normpostpred}
\alias{normpostpred}
\title{Posterior predictive simulation from Bayesian normal sampling model}
\description{
Given simulated draws from the posterior from a normal sampling model, outputs
simulated draws from the posterior predictive distribution of a statistic of interest.
}
\usage{
normpostpred(parameters,sample.size,f=min)
}
\arguments{
\item{parameters}{list of simulated draws from the posterior where mu contains the normal mean
and sigma2 contains the normal variance}
\item{sample.size}{size of sample of future sample}
\item{f}{function defining the statistic}
}
\value{
simulated sample of the posterior predictive distribution of the statistic}
\author{Jim Albert}
\examples{
# finds posterior predictive distribution of the min statistic of a future sample of size 15
data(darwin)
s=normpostsim(darwin$difference)
sample.size=15
sim.stats=normpostpred(s,sample.size,min)
}
\keyword{models}
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