parallel {rjags} | R Documentation |
On a multi-processor system, you may wish to run parallel chains using
multiple 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.
parallel.seeds(factory, nchain)
factory |
Name of the RNG factory to use. |
nchain |
Number of chains for which to initialize RNGs. |
parallel.seeds
returns a list of RNG states. Each element
is a list of length 2 with the following elements:
.RNG.name |
The name of the RNG |
.RNG.state |
An integer vector giving the state of the RNG. |
It is not yet possible to make the results of parallel.seeds
reproducible. This will be fixed in a future version of JAGS.
Martyn Plummer
jags.model
, section “Random number generators”,
for further details on RNG initialization;
list.factories
to find the names of available RNG
factories.
##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);