rvar: Random Variables

[ library, math, public-domain ] [ Propose Tags ]

Random number generation based on modeling random variables by an abstract type (RVar) which can be composed and manipulated monadically and sampled in either monadic or "pure" styles.

The primary purpose of this library is to support defining and sampling a wide variety of high quality random variables. Quality is prioritized over speed, but performance is an important goal too.

In my testing, I have found it capable of speed comparable to other Haskell libraries, but still a fair bit slower than straight C implementations of the same algorithms.

Changes in 0.2.0.1: Version bump for transformers dependency.

Versions [faq] 0.2, 0.2.0.1, 0.2.0.2, 0.2.0.3
Dependencies base (>=3 && <4.13), MonadPrompt (==1.0.*), mtl (==1.1.* || ==2.*), random-source (==0.3.*), transformers (>=0.2 && <0.6) [details]
License LicenseRef-PublicDomain
Author James Cook <mokus@deepbondi.net>
Maintainer James Cook <mokus@deepbondi.net>
Revised Revision 1 made by phadej at Mon Dec 16 00:55:23 UTC 2019
Category Math
Home page https://github.com/mokus0/random-fu
Source repo head: git clone https://github.com/mokus0/random-fu.git(rvar)
Uploaded by DominicSteinitz at Sun Jun 5 10:31:07 UTC 2016
Distributions Debian:0.2.0.3, LTSHaskell:0.2.0.3, NixOS:0.2.0.3, Stackage:0.2.0.3
Downloads 7698 total (139 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2016-06-05 [all 1 reports]

Modules

[Index]

Flags

NameDescriptionDefaultType
mtl2

mtl-2 has State, etc., as "type" rather than "newtype"

EnabledAutomatic

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