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rngtools  

Utility Functions for Working with Random Number Generators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rngtools", "1.5.2")



Attach the package and use:
library("rngtools")
Maintained by
Renaud Gaujoux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-11-06
Latest Update: 2021-09-20
Description:
Provides a set of functions for working with Random Number Generators (RNGs). In particular, a generic S4 framework is defined for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.
How to cite:
Renaud Gaujoux (2012). rngtools: Utility Functions for Working with Random Number Generators. R package version 1.5.2, https://cran.r-project.org/web/packages/rngtools. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0 (2012-11-06 17:14), 1.1 (2012-12-10 18:30), 1.2.1 (2013-07-29 01:16), 1.2.2 (2013-09-19 14:06), 1.2.3 (2013-09-24 16:50), 1.2.4 (2018-05-10 16:24), 1.2 (2013-03-12 17:19), 1.3.1.1 (2019-04-26 15:21), 1.3.1 (2018-05-15 18:41), 1.4 (2019-07-02 01:00), 1.5 (2020-01-24 00:20)
Other packages that cited rngtools R package
View rngtools citation profile
Other R packages that rngtools depends, imports, suggests or enhances
Complete documentation for rngtools
Functions, R codes and Examples using the rngtools R package
Some associated functions: RNGseed . RNGseq . RNGstr . dot-getRNG . dot-setRNG . getRNG1 . rng . rngcmp . rngtools . uchecks . 
Some associated R codes: RNG.R . RNGseq.R . format.R . utils.R .  Full rngtools package functions and examples
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