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\name{reg.gprior.post}
\alias{reg.gprior.post}
\title{Computes the log posterior of a normal regression model with a g prior.}
\description{
Computes the log posterior of (beta, log sigma) for a normal regression
model with a g prior with parameters beta0 and c0.
}
\usage{
reg.gprior.post(theta, dataprior)
}
\arguments{
\item{theta}{vector of components of beta and log sigma}
\item{dataprior}{list with components data and prior; data is a list
with components y and X, prior is a list with components b0 and c0}
}
\value{
value of the log posterior
}
\author{Jim Albert}
\examples{
data(puffin)
data=list(y=puffin$Nest, X=cbind(1,puffin$Distance))
prior=list(b0=c(0,0), c0=10)
reg.gprior.post(c(20,-.5,1),list(data=data,prior=prior))
}
\keyword{models}
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