fastbayes: Bayesian modeling algorithms accelerated for particular model structures

[ library, mit, statistics ] [ Propose Tags ]

General-purpose sampling approaches like Gibbs sampling are very useful for models that have not been studied extensively. But for some cases, specialized algorithms are available because of the model's commonality (e.g., linear regression) or niche popularity (e.g., Latent Dirichlet Allocation). This package is an effort to collect such algorithms in one place.

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Versions [RSS],
Dependencies base (>=4.6 && <4.8), hmatrix (>=0.16 && <0.17), vector (>=0.10 && <0.11) [details]
License MIT
Copyright Copyright (c) 2014 Melinae, Inc
Author Chad Scherrer
Category Statistics
Home page
Source repo head: git clone git://
Uploaded by ChadScherrer at 2014-08-12T18:06:52Z
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 1841 total (4 in the last 30 days)
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Status Docs available [build log]
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Readme for fastbayes-

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How to run tests

cabal configure --enable-tests && cabal build && cabal test


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