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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 |
Reference manual: | rTRNG.pdf |
Vignettes: |
Matrix MC simulation Introduction to rTRNG rTRNG @useR!2017 |
Package source: | rTRNG_4.23.1-2.tar.gz |
Windows binaries: | r-devel: rTRNG_4.23.1-2.zip, r-release: rTRNG_4.23.1-2.zip, r-oldrel: rTRNG_4.23.1-2.zip |
macOS binaries: | r-release (arm64): rTRNG_4.23.1-2.tgz, r-oldrel (arm64): rTRNG_4.23.1-2.tgz, r-release (x86_64): rTRNG_4.23.1-2.tgz, r-oldrel (x86_64): rTRNG_4.23.1-2.tgz |
Old sources: | rTRNG archive |
Please use the canonical form https://CRAN.R-project.org/package=rTRNG to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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