evalParallelArgument: Evaluates parallel argument

In datacloning/dclone: Data Cloning and MCMC Tools for Maximum Likelihood Methods

Evaluates parallel argument

Description

Evaluates parallel argument.

Usage

evalParallelArgument(cl, quit = FALSE)

Arguments

cl	NULL, a cluster object or an integer. Can be missing.
quit	Logical, whether it should stop with error when ambiguous parallel definition is found (conflicting default environmental variable settings).

Value

NULL for sequential evaluation or the original value of cl if parallel evaluation is meaningful.

Author(s)

Peter Solymos, [e-mail]

Examples

evalParallelArgument()
evalParallelArgument(NULL)
evalParallelArgument(1)
evalParallelArgument(2)
cl <- makePSOCKcluster(2)
evalParallelArgument(cl)
stopCluster(cl)
oop <- options("mc.cores"=2)
evalParallelArgument()
options(oop)

datacloning/dclone documentation built on Jan. 7, 2023, 2:38 p.m.