hmm-lapack: Hidden Markov Models using LAPACK primitives

[ bsd3, library, math ] [ Propose Tags ]

Hidden Markov Models implemented using LAPACK data types and operations. http://en.wikipedia.org/wiki/Hidden_Markov_Model

It implements:

It supports any kind of emission distribution, where discrete and multivariate Gaussian distributions are implemented as examples.

For an introduction please refer to the examples:

An alternative package without foreign calls is hmm.

Versions [faq] 0.3, 0.3.0.1, 0.3.0.2, 0.3.0.3
Change log Changes.md
Dependencies base (>=4.5 && <5), boxes (>=0.1.5 && <0.2), comfort-array (>=0.2 && <0.4), containers (>=0.4.2 && <0.7), deepseq (>=1.3 && <1.5), explicit-exception (>=0.1.7 && <0.2), fixed-length (>=0.2.1 && <0.3), lapack (>=0.2.2 && <0.3), lazy-csv (==0.5.*), netlib-ffi (>=0.1.1 && <0.2), non-empty (>=0.2.1 && <0.4), prelude-compat (==0.0.*), QuickCheck (>=2.5 && <3), random (>=1.0 && <1.2), semigroups (>=0.17 && <0.19), tfp (==1.0.*), transformers (>=0.2 && <0.6), utility-ht (>=0.0.12 && <0.1) [details]
License BSD-3-Clause
Author Henning Thielemann
Maintainer haskell@henning-thielemann.de
Category Math
Home page http://hub.darcs.net/thielema/hmm-lapack
Source repo this: darcs get http://hub.darcs.net/thielema/hmm-lapack --tag 0.3.0.3
head: darcs get http://hub.darcs.net/thielema/hmm-lapack
Uploaded by HenningThielemann at Mon Mar 11 07:27:18 UTC 2019
Distributions NixOS:0.3.0.3, Stackage:0.3.0.3
Downloads 211 total (93 in the last 30 days)
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