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setRNG  

Set (Normal) Random Number Generator and Seed
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("setRNG", "2024.2-1")



Attach the package and use:
library("setRNG")
Maintained by
Paul Gilbert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-03-26
Latest Update: 2024-02-18
Description:
Provides utilities to help set and record the setting of the seed and the uniform and normal generators used when a random experiment is run. The utilities can be used in other functions that do random experiments to simplify recording and/or setting all the necessary information for reproducibility. See the vignette and reference manual for examples.
How to cite:
Paul Gilbert (2004). setRNG: Set (Normal) Random Number Generator and Seed. R package version 2024.2-1, https://cran.r-project.org/web/packages/setRNG. Accessed 05 Jun. 2026.
Previous versions and publish date:
2004.3-1 (2004-03-26 08:51), 2004.4-1 (2004-04-18 23:01), 2006.4-1 (2006-04-05 10:36), 2008.3-1 (2008-03-21 20:26), 2009.11-1 (2009-11-27 08:48), 2011.11-2 (2012-03-27 08:06), 2013.9-1 (2014-11-25 09:04), 2022.4-1 (2022-04-03 16:40)
Other packages that cited setRNG R package
View setRNG citation profile
Other R packages that setRNG depends, imports, suggests or enhances
Complete documentation for setRNG
Functions, R codes and Examples using the setRNG R package
Some associated functions: 00.setRNG.Intro . getRNG . random.number.test . setRNG-package . setRNG . 
Some associated R codes: setRNG.R .  Full setRNG package functions and examples
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