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.
|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.*) [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 JamesCook at Fri Jun 24 17:39:46 UTC 2011|
|Distributions||Debian:0.2.0.2, LTSHaskell:0.2.0.3, NixOS:0.2.0.3, openSUSE:0.2.0.3|
|Downloads||5619 total (36 in the last 30 days)|
|Rating||(no votes yet) [estimated by rule of succession]|
|Status||Docs uploaded by user
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