Generic Reproducible Parallel Backend for 'foreach' Loops R package doRNG version 1.8.6.3 CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing) 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. Software Depends: R (>= 3.0.0), foreach, rngtools (>= 1.5) Imports: stats, utils, iterators Suggests: doParallel, doMPI, doRedis, rbenchmark, knitr, rbibutils (>= 1.3), testthat, covr Emilio L. Sáenz Guillén <Emilio.Saenz-Guillen@citystgeorges.ac.uk> Comprehensive R Archive Network (CRAN) Renaud Gaujoux [aut], Emilio L. Sáenz Guillén [cre] GPL (>= 2) 2026-02-05 application/tgz https://CRAN.R-project.org/package=doRNG doi:10.32614/CRAN.package.doRNG