name:                mcmc-types
version:             1.0.3
synopsis:            Common types for sampling.
homepage:            http://github.com/jtobin/mcmc-types
license:             MIT
license-file:        LICENSE
author:              Jared Tobin
maintainer:          jared@jtobin.ca
build-type:          Simple
category:            Numeric, Math
cabal-version:       >= 1.10
description:
  Common types for implementing Markov Chain Monte Carlo (MCMC) algorithms.
  .
  An instance of an MCMC problem can be characterized by the following:
  .
  * A /target distribution/ over some parameter space
  .
  * A /parameter space/ for a Markov chain to wander over
  .
  * A /transition operator/ to drive the Markov chain
  .
  /mcmc-types/ provides the suitably-general 'Target', 'Chain', and
  'Transition' types for representing these things respectively.

Source-repository head
  Type:     git
  Location: http://github.com/jtobin/mcmc-types.git

library
  exposed-modules:     Data.Sampling.Types
  default-language:    Haskell2010
  build-depends:
      base            >= 4 && < 6
    , containers      >= 0.5 && < 6
    , mwc-probability >= 1.0.1
    , transformers    >= 0.5 && < 1.0