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\name{parallel}
\alias{parallel.seeds}
\title{Get initial values for parallel RNGs}
\description{
On a multi-processor system, you may wish to run parallel chains using
multiple \code{jags.model} objects, each running a single chain on a
separate processor. This function returns a list of values that may
be used to initialize the random number generator of each chain.
}
\usage{
parallel.seeds(factory, nchain)
}
\arguments{
\item{factory}{Name of the RNG factory to use.}
\item{nchain}{Number of chains for which to initialize RNGs.}
}
\value{
\code{parallel.seeds} returns a list of RNG states. Each element
is a list of length 2 with the following elements:
\item{.RNG.name}{The name of the RNG}
\item{.RNG.state}{An integer vector giving the state of the RNG.}
}
\note{
It is not yet possible to make the results of \code{parallel.seeds}
reproducible. This will be fixed in a future version of JAGS.
}
\examples{
##The BaseRNG factory generates up to four distinct types of RNG. If
##more than 4 chains are requested, it will recycle the RNG types, but
##use different initial values
parallel.seeds("base::BaseRNG", 3)
## The lecuyer module provides the RngStream factory, which allows large
## numbers of independent parallel RNGs to be generated.
load.module("lecuyer")
list.factories(type="rng")
parallel.seeds("lecuyer::RngStream", 5);
}
\author{Martyn Plummer}
\seealso{
\code{\link{jags.model}}, section \dQuote{Random number generators},
for further details on RNG initialization;
\code{\link{list.factories}} to find the names of available RNG
factories.
}
\keyword{models}
|
