doRNG: 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.

Version: 1.6.6
Depends: R (≥ 3.0.0), foreach, rngtools (≥ 1.2.4)
Imports: stats, utils, iterators, pkgmaker (≥ 0.20)
Suggests: doParallel, doMPI, doRedis, rbenchmark, RUnit, devtools, knitr, bibtex
Published: 2017-04-10
Author: Renaud Gaujoux
Maintainer: Renaud Gaujoux <renaud at tx.technion.ac.il>
BugReports: http://github.com/renozao/doRNG/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://renozao.github.io/doRNG
NeedsCompilation: no
Materials: NEWS
In views: HighPerformanceComputing
CRAN checks: doRNG results

Downloads:

Reference manual: doRNG.pdf
Vignettes: doRNG-unitTests
Using the package doRNG
Package source: doRNG_1.6.6.tar.gz
Windows binaries: r-devel: doRNG_1.6.6.zip, r-release: doRNG_1.6.6.zip, r-oldrel: doRNG_1.6.6.zip
OS X El Capitan binaries: r-release: doRNG_1.6.6.tgz
OS X Mavericks binaries: r-oldrel: doRNG_1.6.6.tgz
Old sources: doRNG archive

Reverse dependencies:

Reverse imports: bdots, condSURV, Counterfactual, CovSelHigh, fuzzyforest, gbts, Mediana, RSNPset, rstansim, SGP, survidm
Reverse suggests: darch, doFuture, GA, GAparsimony, ptycho

Linking:

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