name: rvar version: 0.3.0.2 stability: stable cabal-version: >= 1.10 build-type: Simple author: James Cook maintainer: Dominic Steinitz license: PublicDomain homepage: https://github.com/haskell-numerics/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. tested-with: GHC == 8.10.7 extra-source-files: changelog.md source-repository head type: git location: https://github.com/haskell-numerics/random-fu subdir: rvar Flag mtl2 Description: mtl-2 has State, etc., as "type" rather than "newtype" Library ghc-options: -Wall hs-source-dirs: src default-language: Haskell2010 exposed-modules: Data.RVar other-modules: Data.RVar.Prim if flag(mtl2) build-depends: mtl == 2.* cpp-options: -DMTL2 else build-depends: mtl == 1.1.* build-depends: base >= 3 && <5, bytestring, MonadPrompt == 1.0.*, transformers >= 0.2 && < 0.7, random >= 1.2.0