name: rvar version: 0.2.0.3 stability: stable cabal-version: >= 1.6 build-type: Simple author: James Cook maintainer: James Cook 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 && < 0.6