The random-fu package

[Tags:public-domain]

Random number generation based on modeling random variables in two complementary ways: first, by the parameters of standard mathematical distributions and, second, 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. Warning to anyone upgrading from "< 0.2": The old random-fu package has been split into three parts: random-source, rvar, and this new random-fu. The end-user interface is mostly the same.

Properties

Versions 0.0.0.2, 0.0.1.1, 0.0.2.0, 0.0.2.1, 0.0.3, 0.0.3.2, 0.1.0.0, 0.1.3, 0.1.4, 0.2, 0.2.1.0, 0.2.1.1, 0.2.2.0, 0.2.3.0, 0.2.3.1, 0.2.4.0, 0.2.5.0, 0.2.6.0, 0.2.6.1, 0.2.6.2
Dependencies base (==4.*), erf, erf-native, gamma, monad-loops (>=0.3.0.1), mtl (>=1 && <3), random-shuffle, random-source (==0.3.*), rvar (==0.2.*), syb, template-haskell, transformers, vector (>=0.7) [details]
License PublicDomain
Author James Cook <james.cook@usma.edu>
Maintainer James Cook <james.cook@usma.edu>
Stability provisional
Category Math
Home page https://github.com/mokus0/random-fu
Source repository head: git clone https://github.com/mokus0/random-fu.git(random-fu)
Uploaded Fri Jun 24 17:43:26 UTC 2011 by JamesCook
Distributions Debian:0.2.6.2, LTSHaskell:0.2.6.2, NixOS:0.2.6.2, Stackage:0.2.6.2
Downloads 7209 total (48 in the last 30 days)
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Status Docs uploaded by user
Build status unknown [no reports yet]

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NameDescriptionDefaultType
base4_2base-4.2 has an incompatible change in Data.Fixed (HasResolution)EnabledAutomatic
mtl2mtl-2 has State, etc., as "type" rather than "newtype"EnabledAutomatic

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