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\name{cov.mnp}
\alias{cov.mnp}
\title{Extract Multinomial Probit Model Covariance Matrix}
\description{
\code{cov.mnp} is a function which extracts the posterior draws of
covariance matrix from objects returned by \code{mnp}.
}
\usage{
cov.mnp(object, subset = NULL, ...)
}
\arguments{
\item{object}{An output object from \code{mnp}.}
\item{subset}{A scalar or a numerical vector specifying the row
number(s) of \code{param} in the output object from \code{mnp}. If
specified, the posterior draws of covariance matrix for those rows are
extracted. The default is \code{NULL} where all the posterior draws
are extracted.
}
\item{...}{further arguments passed to or from other methods.}
}
\value{
When a numerical vector or \code{NULL} is specified for \code{subset}
argument, \code{cov.mnp} returns a three dimensional array where the
third dimension indexes posterior draws. When a scalar is
specified for \code{subset} arugment, \code{cov.mnp} returns a matrix.
}
\seealso{\code{mnp}, \code{coef.mnp}; MNP home page at
\url{http://imai.princeton.edu/research/MNP.html}}
\author{
Kosuke Imai, Department of Politics, Princeton University
\email{kimai@Princeton.Edu}
}
\keyword{methods}
|
