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\name{logMargDenNR}
\alias{logMargDenNR}
\concept{Newton-Raftery approximation}
\concept{bayes}
\concept{marginal likelihood}
\concept{density}
\title{Compute Log Marginal Density Using Newton-Raftery Approx}
\description{
\code{logMargDenNR} computes log marginal density using the Newton-Raftery approximation.
}
\usage{logMargDenNR(ll)}
\arguments{
\item{ll}{ vector of log-likelihoods evaluated at \code{length(ll)} MCMC draws }
}
\value{Approximation to log marginal density value.}
\section{Warning}{
This approximation can be influenced by outliers in the vector of log-likelihoods; use with \strong{care}. This routine is a utility routine that does \strong{not} check the input arguments for proper dimensions and type.
}
\author{ Peter Rossi, Anderson School, UCLA, \email{perossichi@gmail.com}.}
\references{For further discussion, see Chapter 6, \emph{Bayesian Statistics and Marketing} by Rossi, Allenby, and McCulloch. }
\keyword{distribution}
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