Cabal revisions of mcmc-types-1.0.0
Hackage metadata revisions edit the .cabal file after upload; each diff below is one revision.
revision 1
-name: mcmc-types-version: 1.0.0-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-cabal-version: >= 1.18-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 < 5- , containers- , mwc-probability >= 1.0.0- , transformers-+name: mcmc-types +version: 1.0.0 +x-revision: 1 +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: >= 1.18 +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 < 5 + , containers + , mwc-probability >= 1.0.0 + , transformers +