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

[ bsd3, library, math ] [ Propose Tags ]

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


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Dependencies base (>=4 && <5), cereal, containers, deepseq, digamma, enummapset, gamma, ghc-prim, logfloat, mtl, mwc-random, pretty, random-fu, random-source, rvar, statistics, stm, transformers, vector [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 Ben Gamari
Author Ben Gamari
Category Math
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Source repo head: git clone
Uploaded by BenGamari at 2012-10-27T16:25:43Z
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1293 total (4 in the last 30 days)
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Status Docs uploaded by user
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