rvar-0.2.0.1: rvar.cabal
name: rvar
version: 0.2.0.1
stability: stable
cabal-version: >= 1.6
build-type: Simple
author: James Cook <james.cook@usma.edu>
maintainer: James Cook <james.cook@usma.edu>
license: PublicDomain
homepage: https://github.com/mokus0/random-fu
category: Math
synopsis: Random Variables
description: 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.
tested-with: GHC == 6.8.3, GHC == 6.10.4, GHC == 6.12.3,
GHC == 7.0.4, GHC == 7.2.1, GHC == 7.2.2,
GHC == 7.4.1-rc1
source-repository head
type: git
location: https://github.com/mokus0/random-fu.git
subdir: rvar
Flag mtl2
Description: mtl-2 has State, etc., as "type" rather than "newtype"
Library
ghc-options: -Wall
hs-source-dirs: src
exposed-modules: Data.RVar
if flag(mtl2)
build-depends: mtl == 2.*
cpp-options: -DMTL2
else
build-depends: mtl == 1.1.*
build-depends: base >= 3 && <5,
MonadPrompt == 1.0.*,
random-source == 0.3.*,
transformers >= 0.2 && < 0.4