setup_cluster: Set up a cluster for parallel computing
In mcmcsae: Markov Chain Monte Carlo Small Area Estimation
setup_cluster R Documentation
Set up a cluster for parallel computing
Description
The cluster is set up for a number of workers by loading the mcmcsae
package and setting up independent RNG streams.
Usage
setup_cluster(n.cores = NULL, seed = NULL, export = NULL)
Arguments
n.cores
the number of cpu cores to use.
seed
optional random seed for reproducibility.
export
a character vector with names of objects to export to the workers.
Value
an object representing the cluster.
mcmcsae documentation built on Oct. 11, 2023, 1:06 a.m.
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| setup_cluster | R Documentation |
Set up a cluster for parallel computing
Description
The cluster is set up for a number of workers by loading the mcmcsae package and setting up independent RNG streams.
Usage
setup_cluster(n.cores = NULL, seed = NULL, export = NULL)
Arguments
n.cores |
the number of cpu cores to use. |
seed |
optional random seed for reproducibility. |
export |
a character vector with names of objects to export to the workers. |
Value
an object representing the cluster.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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