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name: rvar
version: 0.3.0.2
stability: stable
cabal-version: >= 1.10
build-type: Simple
author: James Cook <mokus@deepbondi.net>
maintainer: Dominic Steinitz <dominic@steinitz.org>
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
|
