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\name{indepmetrop}
\alias{indepmetrop}
\title{Independence Metropolis independence chain of a posterior distribution}
\description{
Simulates iterates of an independence Metropolis chain with a normal proposal density for an arbitrary real-valued
posterior density defined by the user}
\usage{
indepmetrop(logpost,proposal,start,m,...)
}
\arguments{
\item{logpost}{function defining the log posterior density}
\item{proposal}{a list containing mu, an estimated mean and var, an estimated variance-covariance matrix, of the normal proposal density}
\item{start}{vector containing the starting value of the parameter}
\item{m}{the number of iterations of the chain}
\item{...}{data that is used in the function logpost}
}
\value{
\item{par}{a matrix of simulated values where each row corresponds to a value of the vector parameter}
\item{accept}{the acceptance rate of the algorithm}
}
\author{Jim Albert}
\examples{
data=c(6,2,3,10)
proposal=list(mu=array(c(2.3,-.1),c(2,1)),var=diag(c(1,1)))
start=array(c(0,0),c(1,2))
m=1000
fit=indepmetrop(logctablepost,proposal,start,m,data)
}
\keyword{models}
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