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\name{normal.normal.mix}
\alias{normal.normal.mix}
\title{Computes the posterior for normal sampling and a mixture of normals prior}
\description{
Computes the parameters and mixing probabilities for a normal sampling problem, variance known,
where the prior is a discrete mixture of normal densities.
}
\usage{
normal.normal.mix(probs,normalpar,data)
}
\arguments{
\item{probs}{vector of probabilities of the normal components of the prior}
\item{normalpar}{matrix where each row contains the mean and variance parameters for a normal component of the prior}
\item{data}{vector of observation and sampling variance}
}
\value{
\item{probs}{vector of probabilities of the normal components of the posterior}
\item{normalpar}{matrix where each row contains the mean and variance parameters for a normal component of the posterior}
}
\author{Jim Albert}
\examples{
probs=c(.5, .5)
normal.par1=c(0,1)
normal.par2=c(2,.5)
normalpar=rbind(normal.par1,normal.par2)
y=1; sigma2=.5
data=c(y,sigma2)
normal.normal.mix(probs,normalpar,data)
}
\keyword{models}
|
