Generic Reproducible Parallel Backend for foreach Loops
This package provides functions to perform reproducible
parallel foreach loops, using independent random streams as
generated by the package rstream. It enables to easily convert
standard %dopar% loops into fully reproducible loops,
independently of the number of workers, the task scheduling
strategy, or the chosen parallel environment and associated
foreach backend.
R (>= 2.13), methods, stats, foreach, rstream (>= 1.3.1)

This package provides functions to perform
reproducible parallel foreach loops, using independent
random streams as generated by L'Ecuyer's combined
multiple-recursive generator [L'Ecuyer (1999)]. It
enables to easily convert standard %dopar% loops into
fully reproducible loops, independently of the number
of workers, the task scheduling strategy, or the chosen
parallel environment and associated foreach backend.
R (>= 2.14), methods, stats, foreach, parallel

This package provides functions to perform reproducible
parallel foreach loops, using independent random streams as
generated by L'Ecuyer's combined multiple-recursive generator
[L'Ecuyer (1999)]. It enables to easily convert standard
%dopar% loops into fully reproducible loops, independently of
the number of workers, the task scheduling strategy, or the
chosen parallel environment and associated foreach backend.

doParallel, doMPI, doRedis, knitr, bibtex, rbenchmark

R (>= 2.14), methods, stats, foreach, parallel, iterators

R (>= 2.14), methods, stats, foreach, parallel, iterators,
pkgmaker (>= 0.8)
doParallel, doMPI, doRedis, rbenchmark, RUnit, devtools,
knitr, bibtex

R (>= 2.14), methods, stats, foreach, parallel, iterators,
pkgmaker (>= 0.11), rngtools

R (>= 2.14), methods, stats, foreach, parallel, iterators,
pkgmaker (>= 0.9), rngtools

Generic Reproducible Parallel Backend for 'foreach' Loops
Provides functions to perform
reproducible parallel foreach loops, using independent
random streams as generated by L'Ecuyer's combined
multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>].
It enables to easily convert standard %dopar% loops into
fully reproducible loops, independently of the number
of workers, the task scheduling strategy, or the chosen
parallel environment and associated foreach backend.
stats, utils, iterators, pkgmaker (>= 0.20)