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\name{lambda.reg.bayes}
\alias{lambda.reg.bayes}
\title{Calculate shares using data from Bayesian regression model}
\description{Calculates the population share of row members in selected columns}
\usage{
lambda.reg.bayes(object, columns, ret.mcmc = TRUE)
}
\arguments{
\item{object}{An R object of class \code{eiRegBayes}, the output from \code{\link{ei.reg.bayes}}}
\item{columns}{a character vector indicating which column marginals to be included in calculating the shares}
\item{ret.mcmc}{If TRUE, posterior shares are returned as an \code{mcmc}
object.}
}
\value{
If \code{ret.mcmc = TRUE}, draws are returned as an \code{mcmc} object
with dimensions sample \eqn{\times C}{x C}. If \code{ret.mcmc =
FALSE}, draws are returned as an array with dimensions \eqn{R
\times C \times }{R x C x} samples array.
}
\seealso{\code{\link{ei.reg.bayes}}}
\author{
Ryan T. Moore <\email{rtm@american.edu}>
}
\keyword{models}
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