The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

dqrng: Fast Pseudo Random Number Generators

Several fast random number generators are provided as C++ header only libraries: The PCG family by O'Neill (2014 <https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018 <doi:10.48550/arXiv.1805.01407>). In addition fast functions for generating random numbers according to a uniform, normal and exponential distribution are included. The latter two use the Ziggurat algorithm originally proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>). The fast sampling methods support unweighted sampling both with and without replacement. These functions are exported to R and as a C++ interface and are enabled for use with the default 64 bit generator from the PCG family, Xoroshiro128+ and Xoshiro256+ as well as the 64 bit version of the 20 rounds Threefry engine (Salmon et al., 2011, <doi:10.1145/2063384.2063405>) as provided by the package 'sitmo'.

Version: 0.3.2
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 0.12.16)
LinkingTo: Rcpp, BH (≥ 1.64.0-1), sitmo (≥ 2.0.0)
Suggests: testthat, knitr, rmarkdown, mvtnorm (≥ 1.2-3), bench, sitmo
Published: 2023-11-29
Author: Ralf Stubner [aut, cre], daqana GmbH [cph], David Blackman [ctb], Melissa O'Neill [ctb], Sebastiano Vigna [ctb], Aaron Lun [ctb], Kyle Butts [ctb]
Maintainer: Ralf Stubner <ralf.stubner at gmail.com>
BugReports: https://github.com/daqana/dqrng/issues
License: AGPL-3 | file LICENSE
URL: https://daqana.github.io/dqrng/, https://github.com/daqana/dqrng
NeedsCompilation: yes
Materials: README NEWS
In views: Distributions, HighPerformanceComputing
CRAN checks: dqrng results

Documentation:

Reference manual: dqrng.pdf
Vignettes: C++ API
Fast Pseudo Random Number Generators for R
Parallel RNG usage
Fast sampling methods

Downloads:

Package source: dqrng_0.3.2.tar.gz
Windows binaries: r-devel: dqrng_0.3.2.zip, r-release: dqrng_0.3.2.zip, r-oldrel: dqrng_0.3.2.zip
macOS binaries: r-release (arm64): dqrng_0.3.2.tgz, r-oldrel (arm64): dqrng_0.3.2.tgz, r-release (x86_64): dqrng_0.3.2.tgz, r-oldrel (x86_64): dqrng_0.3.2.tgz
Old sources: dqrng archive

Reverse dependencies:

Reverse imports: DelayedRandomArray, DropletUtils, FunChisq, fwildclusterboot, greeks, GridOnClusters, HDMAADMM, PCAtools, rnndescent, scran, tetragon
Reverse linking to: DelayedRandomArray, dexter, DropletUtils, melt, PCAtools, rnndescent, scran, uwot
Reverse suggests: AdaptGauss, SpaDES.tools

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dqrng 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.
Health stats visible at Monitor.