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 && <0.6) [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||Sun Jun 5 10:31:07 UTC 2016 by DominicSteinitz|
|Distributions||Debian:0.2.0.2, LTSHaskell:0.2.0.3, NixOS:0.2.0.3, Stackage:0.2.0.3, Tumbleweed:0.2.0.3|
|Downloads||4278 total (11 in the last 30 days)|
|Status||Docs available [build log]
Last success reported on 2016-06-05 [all 1 reports]
|mtl2||mtl-2 has State, etc., as "type" rather than "newtype"||Enabled||Automatic|
Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info
For package maintainers and hackage trustees