1\name{lndIChisq} 2\alias{lndIChisq} 3\concept{Inverted Chi-squared Distribution} 4\concept{density} 5 6\title{Compute Log of Inverted Chi-Squared Density} 7 8\description{ 9\code{lndIChisq} computes the log of an Inverted Chi-Squared Density. 10} 11 12\usage{lndIChisq(nu, ssq, X)} 13 14\arguments{ 15 \item{nu }{ d.f. parameter } 16 \item{ssq }{ scale parameter } 17 \item{X }{ ordinate for density evaluation (this must be a matrix)} 18} 19 20\details{ 21 \eqn{Z = nu*ssq / \chi^2_{nu}} with \eqn{Z} \eqn{\sim}{~} Inverted Chi-Squared. \cr 22 \code{lndIChisq} computes the complete log-density, including normalizing constants. 23} 24 25\value{Log density value} 26 27\section{Warning}{ 28This routine is a utility routine that does \strong{not} check the input arguments for proper dimensions and type. 29} 30 31\author{Peter Rossi, Anderson School, UCLA, \email{perossichi@gmail.com}.} 32 33\references{For further discussion, see Chapter 2, \emph{Bayesian Statistics and Marketing} by Rossi, Allenby, and McCulloch. \cr \url{http://www.perossi.org/home/bsm-1}} 34 35\seealso{ \code{\link{dchisq}} } 36 37\examples{ 38lndIChisq(3, 1, matrix(2)) 39} 40 41\keyword{distribution} 42