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

Version: 4.20-1
Imports: methods, Rcpp (≥ 0.11.6), RcppParallel
LinkingTo: Rcpp, RcppParallel
Suggests: covr, knitr, R.rsp, rmarkdown, testthat (≥ 2.0.0)
Published: 2019-05-03
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_4.20-1.tar.gz
Windows binaries: r-devel: rTRNG_4.20-1.zip, r-release: rTRNG_4.20-1.zip, r-oldrel: rTRNG_4.20-1.zip
OS X binaries: r-release: not available, r-oldrel: not available


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