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: 1.8.2
Depends: R (≥ 3.0.0), foreach, rngtools (≥ 1.5)
Imports: stats, utils, iterators
Suggests: doParallel, doMPI, doRedis, rbenchmark, devtools, knitr, bibtex, testthat, pkgmaker (≥ 0.31)
Published: 2020-01-27
Author: Renaud Gaujoux [aut, cre]
Maintainer: Renaud Gaujoux <renozao at protonmail.com>
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: Using the package doRNG
Package source: doRNG_1.8.2.tar.gz
Windows binaries: r-devel: doRNG_1.8.2.zip, r-devel-gcc8: doRNG_1.8.2.zip, r-release: doRNG_1.8.2.zip, r-oldrel: doRNG_1.8.2.zip
OS X binaries: r-release: doRNG_1.8.2.tgz, r-oldrel: doRNG_1.8.2.tgz
Old sources: doRNG archive

Reverse dependencies:

Reverse depends: SparseMDC
Reverse imports: BANDITS, bdots, bestNormalize, bumphunter, clustcurv, condSURV, Counterfactual, CovSelHigh, crossmeta, dcanr, FrechForest, gbts, lass0, Mediana, momentuHMM, mplot, PADOG, RSNPset, SC3, SGP, skpr, SPONGE, survidm, varclust, WebGestaltR
Reverse suggests: blockmodeling, CPAT, cutpointr, doFuture, GA, GAparsimony, GENIE3, inlmisc, MoBPS, ptycho, safe, SimRVPedigree
Reverse enhances: AUCell, RcisTarget

Linking:

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