make_rng_seeds

The number of RNG seeds to produce.

count

A logical specifying whether RNG seeds should be generated
or not. (<code>seed = NULL</code> corresponds to <code>seed = FALSE</code>).
If a list, then it should be of length <code>count</code> and each element should
consist of a valid RNG seed.

seed

If <code>TRUE</code>, debug output is produced, otherwise not.

debug

Produce Reproducible Seeds for Parallel Random Number Generation

internal

The purpose of this package is to provide a lightweight and
unified Future API for sequential and parallel processing of R
expression via futures. The simplest way to evaluate an expression
in parallel is to use `x %<-% { expression }` with `plan(multiprocess)`.
This package implements sequential, multicore, multisession, and
cluster futures. With these, R expressions can be evaluated on the
local machine, in parallel a set of local machines, or distributed
on a mix of local and remote machines.
Extensions to this package implement additional backends for
processing futures via compute cluster schedulers etc.
Because of its unified API, there is no need to modify any code in order
switch from sequential on the local machine to, say, distributed
processing on a remote compute cluster.
Another strength of this package is that global variables and functions
are automatically identified and exported as needed, making it
straightforward to tweak existing code to make use of futures.

make_rng_seeds: Produce Reproducible Seeds for Parallel Random Number Generation

Description

Usage

Arguments

Value