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 [RSS] [faq] 0.3, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.4, 0.4.1
Change log Changes.md
Dependencies base (>=4.5 && <5), comfort-array (==0.5.*), comfort-array-shape (==0.0.*), 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 (==0.4.*), lazy-csv (==0.5.*), netlib-ffi (>=0.1.1 && <0.2), non-empty (>=0.3.2 && <0.4), prelude-compat (==0.0.*), random (>=1.0 && <1.3), semigroups (>=0.17 && <1.0), 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 https://hub.darcs.net/thielema/hmm-lapack
Source repo this: darcs get https://hub.darcs.net/thielema/hmm-lapack --tag 0.4.1
head: darcs get https://hub.darcs.net/thielema/hmm-lapack
Uploaded by HenningThielemann at 2021-08-06T07:47:35Z
Distributions LTSHaskell:0.4, NixOS:0.4, Stackage:0.4.1
Downloads 1938 total (20 in the last 30 days)
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Status Hackage Matrix CI
Docs available [build log]
Last success reported on 2021-08-06 [all 1 reports]

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