rTRNG: 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 (2021) <https://github.com/rabauke/trng4/blob/v4.23.1/doc/trng.pdf>.

Package details

AuthorRiccardo Porreca [aut, cre], Roland Schmid [aut], Mirai Solutions GmbH [cph], Heiko Bauke [ctb, cph] (TRNG sources and headers)
MaintainerRiccardo Porreca <riccardo.porreca@mirai-solutions.com>
URL https://github.com/miraisolutions/rTRNG#readme https://mirai-solutions.ch
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the rTRNG package in your browser

Any scripts or data that you put into this service are public.

rTRNG documentation built on Jan. 31, 2021, 1:07 a.m.