Package: rTRNG
Title: Advanced and Parallel Random Number Generation via 'TRNG'
Version: 4.23.1-2
Authors@R: 
    c(person("Riccardo", "Porreca", role = c("aut", "cre"),
             email = "riccardo.porreca@mirai-solutions.com"),
      person("Roland", "Schmid", role = "aut",
             email = "roland.schmid@mirai-solutions.com"),
      person("Mirai Solutions GmbH", role = "cph",
             email = "info@mirai-solutions.com"),
      person("Heiko", "Bauke", role = c("ctb", "cph"),
             comment = "TRNG sources and headers"))
Description: 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>.
License: GPL-3
URL: https://github.com/miraisolutions/rTRNG#readme,
        https://mirai-solutions.ch
BugReports: https://github.com/miraisolutions/rTRNG/issues
SystemRequirements: GNU make
Imports: methods, Rcpp (>= 0.11.6), RcppParallel
Suggests: covr, knitr, R.rsp, rmarkdown, testthat (>= 2.0.0)
LinkingTo: Rcpp, RcppParallel
VignetteBuilder: knitr, R.rsp
Encoding: UTF-8
NeedsCompilation: yes
RoxygenNote: 7.1.2
Collate: 'LdFlags.R' 'RcppExports.R' 'TRNG.Engine.R' 'TRNG.Random.R'
        'TRNGkind.R' 'TRNGseed.R' 'TRNGjump.R' 'TRNGsplit.R'
        'TRNG.Random.seed.R' 'TRNG.Version.R' 'currentEngine.R'
        'defaultKind.R' 'inline.R' 'rTRNG-package.R' 'rbinom_trng.R'
        'rlnorm_trng.R' 'rnorm_trng.R' 'rpois_trng.R' 'runif_trng.R'
        'zzz.R'
Packaged: 2022-03-14 13:28:30 UTC; riccardo
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@mirai-solutions.com>
Repository: CRAN
Date/Publication: 2022-03-14 15:20:02 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2022-04-21 03:05:43 UTC; windows
Archs: i386, x64
