mwc-random: Fast, high quality pseudo random number generation
This package contains code for generating high quality random numbers that follow either a uniform or normal distribution. The generated numbers are suitable for use in statistical applications.
The uniform PRNG uses Marsaglia's MWC256 (also known as MWC8222) multiply-with-carry generator, which has a period of 2^8222 and fares well in tests of randomness. It is also extremely fast, between 2 and 3 times faster than the Mersenne Twister.
Compared to the mersenne-random package, this package has a more convenient API, is faster, and supports more statistical distributions.
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Versions [RSS] | 0.4.1, 0.4.1.1, 0.5.0.0, 0.5.1.1, 0.5.1.2, 0.5.1.3, 0.5.1.4, 0.6.0.0, 0.7.0.0, 0.7.0.1, 0.8.0.0, 0.8.0.1, 0.8.0.2, 0.8.0.3, 0.8.0.5, 0.9.0.0, 0.10.0.0, 0.10.0.1, 0.11.0.0, 0.12.0.0, 0.12.0.1, 0.13.0.0, 0.13.1.0, 0.13.1.1, 0.13.1.2, 0.13.2.0, 0.13.2.2, 0.13.3.0, 0.13.3.1, 0.13.3.2, 0.13.4.0, 0.13.5.0, 0.13.6.0, 0.14.0.0, 0.15.0.0, 0.15.0.1, 0.15.0.2, 0.15.1.0 (info) |
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Change log | changelog.md |
Dependencies | base (>=4.8 && <5), math-functions (>=0.2.1.0), primitive (>=0.6.2), random (>=1.2), time, vector (>=0.7) [details] |
License | BSD-3-Clause |
Copyright | 2009, 2010, 2011 Bryan O'Sullivan |
Author | Bryan O'Sullivan <bos@serpentine.com> |
Maintainer | Bryan O'Sullivan <bos@serpentine.com> |
Revised | Revision 2 made by AlexeyKhudyakov at 2021-04-01T17:30:25Z |
Category | Math, Statistics |
Home page | https://github.com/bos/mwc-random |
Bug tracker | https://github.com/bos/mwc-random/issues |
Source repo | head: git clone git://github.com/bos/mwc-random head: hg clone https://bitbucket.org/bos/mwc-random |
Uploaded | by AlexeyKhudyakov at 2020-08-08T17:20:58Z |
Distributions | Arch:0.15.1.0, Debian:0.14.0.0, Fedora:0.15.0.2, FreeBSD:0.13.3.2, LTSHaskell:0.15.1.0, NixOS:0.15.1.0, Stackage:0.15.1.0, openSUSE:0.15.0.2 |
Reverse Dependencies | 123 direct, 4666 indirect [details] |
Downloads | 156325 total (412 in the last 30 days) |
Rating | 2.0 (votes: 1) [estimated by Bayesian average] |
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Status | Docs available [build log] Last success reported on 2020-08-08 [all 1 reports] |