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rTRNG  

Advanced and Parallel Random Number Generation via 'TRNG'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rTRNG", "4.23.1-4")



Attach the package and use:
library("rTRNG")
Maintained by
Riccardo Porreca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-03
Latest Update: 2025-09-01
Description:
Embeds sources and headers from Tina's Random Number Generator ('TRNG') C++ library. Exposes some functionality for easier access, testing and benchmarking into R. Provides examples of how to use parallel RNG with 'RcppParallel'. The methods and techniques behind 'TRNG' are illustrated in the package vignettes and examples. Full documentation is available in Bauke (2021) .
How to cite:
Riccardo Porreca (2019). rTRNG: Advanced and Parallel Random Number Generation via 'TRNG'. R package version 4.23.1-4, https://cran.r-project.org/web/packages/rTRNG. Accessed 05 Mar. 2026.
Previous versions and publish date:
4.20-1 (2019-05-03 14:10), 4.23.1-1 (2021-01-31 01:50), 4.23.1-2 (2022-03-14 16:20), 4.23.1-4 (2025-08-21 10:40)
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Complete documentation for rTRNG
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