rvar: Random Variables
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, 0.2.0.4, 0.2.0.6|
|Dependencies||base (>=3 && <5), MonadPrompt (==1.0.*), mtl (==1.1.* || ==2.*), random-source (==0.3.*), transformers (>=0.2 && <0.6) [details]|
|Author||James Cook <firstname.lastname@example.org>|
|Maintainer||James Cook <email@example.com>|
|Source repo||head: git clone https://github.com/mokus0/random-fu.git(rvar)|
|Uploaded||by DominicSteinitz at 2020-07-02T09:08:32Z|
|Distributions||Arch:0.2.0.6, Debian:0.2.0.3, LTSHaskell:0.2.0.3, NixOS:0.2.0.6, Stackage:0.2.0.3|
|Downloads||8913 total (72 in the last 30 days)|
|Rating||(no votes yet) [estimated by Bayesian average]|
Docs available [build log]
Last success reported on 2020-07-02 [all 1 reports]
mtl-2 has State, etc., as "type" rather than "newtype"
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