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\name{mnormt.twosided}
\alias{mnormt.twosided}
\title{Bayesian test of a two-sided hypothesis about a normal mean}
\description{
Bayesian test that a normal mean is equal to a specified
value using a normal prior}
\usage{
mnormt.twosided(m0, prob, t, data)
}
\arguments{
\item{m0}{value of the mean to be tested }
\item{prob}{prior probability of the hypothesis}
\item{t}{vector of values of the prior standard
deviation under the alternative hypothesis}
\item{data}{vector containing the sample mean,
the sample size, and the known value of the
population standard deviation}
}
\value{
\item{bf}{vector of values of the Bayes factor
in support of the null hypothesis}
\item{post}{vector of posterior probabilities
of the null hypothesis}
}
\author{Jim Albert}
\examples{
m0=170
prob=.5
tau=c(.5,1,2,4,8)
samplesize=10
samplemean=176
popsd=3
data=c(samplemean,samplesize,popsd)
mnormt.twosided(m0,prob,tau,data)
}
\keyword{models}
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