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>.
Version: 4.23.1-2 Imports: methods, Rcpp (≥ 0.11.6), RcppParallel LinkingTo: Rcpp, RcppParallel Suggests: covr, knitr, R.rsp, rmarkdown, testthat (≥ 2.0.0) Published: 2022-03-14 DOI: 10.32614/CRAN.package.rTRNG Author: Riccardo Porreca [aut, cre], Roland Schmid [aut], Mirai Solutions GmbH [cph], Heiko Bauke [ctb, cph] (TRNG sources and headers) Maintainer: Riccardo Porreca <riccardo.porreca at mirai-solutions.com> BugReports: https://github.com/miraisolutions/rTRNG/issues License: GPL-3 Copyright: see file COPYRIGHTS URL: https://github.com/miraisolutions/rTRNG#readme, https://mirai-solutions.ch NeedsCompilation: yes SystemRequirements: GNU make Materials: README NEWS CRAN checks: rTRNG results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rTRNG to link to this page.
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