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doRNG  

Generic Reproducible Parallel Backend for 'foreach' Loops
View on CRAN: Click here


Download and install doRNG package within the R console
Install from CRAN:
install.packages("doRNG")

Install from Github:
library("remotes")
install_github("cran/doRNG")

Install by package version:
library("remotes")
install_version("doRNG", "1.8.6.2")



Attach the package and use:
library("doRNG")
Maintained by
Renaud Gaujoux
[Scholar Profile | Author Map]
First Published: 2011-10-24
Latest Update: 2023-01-16
Description:
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.
How to cite:
Renaud Gaujoux (2011). doRNG: Generic Reproducible Parallel Backend for 'foreach' Loops. R package version 1.8.6.2, https://cran.r-project.org/web/packages/doRNG. Accessed 07 May. 2025.
Previous versions and publish date:
1.0.2 (2011-10-24 16:49), 1.1 (2011-11-29 12:17), 1.2.1 (2012-03-09 15:09), 1.2.2 (2012-03-29 18:45), 1.2.6 (2012-04-17 12:24), 1.3 (2012-05-22 18:54), 1.4.1 (2012-05-25 14:20), 1.4.5 (2012-07-24 11:59), 1.5.3 (2013-03-12 17:19), 1.5.4 (2013-09-19 16:03), 1.5.5 (2013-09-24 19:06), 1.5 (2012-11-07 08:38), 1.6.6 (2017-04-10 16:54), 1.6 (2014-03-07 10:06), 1.7.1 (2018-06-22 23:04), 1.8.2 (2020-01-27 07:30), 1.8.3 (2022-12-19 08:52), 1.8.6.1 (2025-01-13 17:22), 1.8.6 (2023-01-16 12:00)
Other packages that cited doRNG R package
View doRNG citation profile
Other R packages that doRNG depends, imports, suggests or enhances
Complete documentation for doRNG
Functions, R codes and Examples using the doRNG R package
Some associated functions: doRNG-package . doRNGversion . grapes-dorng-grapes . infoDoRNG . registerDoRNG . 
Some associated R codes: doRNG-package.R . doRNG.R . utils.R .  Full doRNG package functions and examples
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