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.

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NameDescriptionDefault
mtl2

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

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Versions [RSS] 0.2, 0.2.0.1, 0.2.0.2, 0.2.0.3, 0.2.0.4, 0.2.0.6, 0.3.0.0, 0.3.0.1, 0.3.0.2
Change log changelog.md
Dependencies base (>=3 && <5), bytestring, MonadPrompt (>=1.0 && <1.1), mtl (>=1.1 && <1.2 || >=2 && <3), random (>=1.2.0), transformers (>=0.2 && <0.7) [details]
License LicenseRef-PublicDomain
Author James Cook <mokus@deepbondi.net>
Maintainer Dominic Steinitz <dominic@steinitz.org>
Category Math
Home page https://github.com/haskell-numerics/random-fu
Source repo head: git clone https://github.com/haskell-numerics/random-fu(rvar)
Uploaded by DominicSteinitz at 2023-04-16T09:47:05Z
Distributions Arch:0.3.0.2, Debian:0.2.0.6, LTSHaskell:0.3.0.2, NixOS:0.3.0.2, Stackage:0.3.0.2
Reverse Dependencies 11 direct, 55 indirect [details]
Downloads 11781 total (109 in the last 30 days)
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