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.

[Skip to Readme]
Dependencies base (>=4.6 && <4.8), hmatrix (==0.16.*), vector (==0.10.*) [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 Tue Aug 12 18:06:52 UTC 2014
Distributions NixOS:
Downloads 781 total (6 in the last 30 days)
Rating (no votes yet) [estimated by rule of succession]
Your Rating
  • λ
  • λ
  • λ
Status Docs available [build log]
Successful builds reported [all 1 reports]
Hackage Matrix CI




Maintainer's Corner

For package maintainers and hackage trustees

Readme for fastbayes-

[back to package description]


TODO: Write description here


TODO: Write installation instructions here


TODO: Write usage instructions here

How to run tests

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


TODO: Write contribution instructions here