bayes-stack-0.2.0.1: Framework for inferring generative probabilistic models with Gibbs sampling

The bayes-stack package

bayes-stack is a framework for inference on generative probabilistic models. The framework uses Gibbs sampling, although is suitable for other iterative update methods.

Properties

Version0.2.0.1
Dependenciesbase (4.*), cereal, containers, deepseq, digamma, enummapset, gamma, ghc-prim, logfloat, mtl, mwc-random, pretty, random-fu, random-source, rvar, statistics, stm, transformers, vector
LicenseBSD3
CopyrightCopyright (c) 2012 Ben Gamari
AuthorBen Gamari
Maintainerbgamari.foss@gmail.com
CategoryMath
Home pagehttps://github.com/bgamari/bayes-stack
Source repositorygit clone https://github.com/bgamari/bayes-stack.git
Upload dateSat Oct 27 16:25:43 UTC 2012
Uploaded byBenGamari
Built onghc-7.6

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