The rvar package
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||0.2, 0.2.0.1, 0.2.0.2, 0.2.0.3|
|Dependencies||base (>=3 && <5), MonadPrompt (==1.0.*), mtl (==1.1.* || ==2.*), random-source (==0.3.*), transformers (>=0.2 && <0.4) [details]|
|Author||James Cook <email@example.com>|
|Maintainer||James Cook <firstname.lastname@example.org>|
|Source repository||head: git clone https://github.com/mokus0/random-fu.git(rvar)|
|Uploaded||Fri Apr 13 12:12:02 UTC 2012 by JamesCook|
|Distributions||Debian:0.2.0.2, LTSHaskell:0.2.0.3, NixOS:0.2.0.3, Tumbleweed:0.2.0.3|
|Downloads||4415 total (14 in the last 30 days)|
|Status||Docs uploaded by user
Build status unknown [no reports yet]
|mtl2||mtl-2 has State, etc., as "type" rather than "newtype"||Enabled||Automatic|
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