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rngtools: Utility Functions for Working with Random Number Generators

Provides a set of functions for working with Random Number Generators (RNGs). In particular, a generic S4 framework is defined for getting/setting the current RNG, or RNG data that are embedded into objects for reproducibility. Notably, convenient default methods greatly facilitate the way current RNG settings can be changed.

Version: 1.5.2
Depends: R (≥ 3.2.0), methods
Imports: digest, utils, stats, parallel
Suggests: covr, RUnit, testthat
Published: 2021-09-20
DOI: 10.32614/CRAN.package.rngtools
Author: Renaud Gaujoux [aut, cre], Max Kuhn [ctb]
Maintainer: Renaud Gaujoux <renozao at protonmail.com>
BugReports: https://github.com/renozao/rngtools/issues
License: GPL-3
URL: https://renozao.github.io/rngtools/
NeedsCompilation: no
Materials: README
CRAN checks: rngtools results

Documentation:

Reference manual: rngtools.pdf

Downloads:

Package source: rngtools_1.5.2.tar.gz
Windows binaries: r-devel: rngtools_1.5.2.zip, r-release: rngtools_1.5.2.zip, r-oldrel: rngtools_1.5.2.zip
macOS binaries: r-release (arm64): rngtools_1.5.2.tgz, r-oldrel (arm64): rngtools_1.5.2.tgz, r-release (x86_64): rngtools_1.5.2.tgz, r-oldrel (x86_64): rngtools_1.5.2.tgz
Old sources: rngtools archive

Reverse dependencies:

Reverse depends: doRNG, NMF
Reverse imports: CICI, EPX, RolDE, serocalculator, SGP

Linking:

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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.