Advanced and Parallel Random Number Generation via 'TRNG'

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 (2018) < https://numbercrunch.de/trng/trng.pdf>.


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Reference manual

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install.packages("rTRNG")

4.20-1 by Riccardo Porreca, 3 months ago


https://github.com/miraisolutions/rTRNG#readme, https://mirai-solutions.ch


Report a bug at https://github.com/miraisolutions/rTRNG/issues


Browse source code at https://github.com/cran/rTRNG


Authors: Riccardo Porreca [aut, cre] , Roland Schmid [aut] , Mirai Solutions GmbH [cph] , Heiko Bauke [ctb, cph] (TRNG sources and headers)


Documentation:   PDF Manual  


GPL-3 license


Imports methods, Rcpp, RcppParallel

Suggests covr, knitr, R.rsp, rmarkdown, testthat

Linking to Rcpp, RcppParallel

System requirements: GNU make


See at CRAN