hmm-lapack: Hidden Markov Models using LAPACK primitives

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

It implements:

generation of samples of emission sequences,
computation of the likelihood of an observed sequence of emissions,
construction of most likely state sequence that produces an observed sequence of emissions,
supervised and unsupervised training of the model by Baum-Welch algorithm.

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.

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Versions [RSS]	0.3, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.4, 0.4.1, 0.5, 0.5.0.1
Change log	Changes.md
Dependencies	base (>=4.5 && <5), comfort-array (>=0.5 && <0.6), comfort-array-shape (>=0.0 && <0.1), 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), hmm-lapack, lapack (>=0.4 && <0.5), lazy-csv (>=0.5 && <0.6), netlib-ffi (>=0.1.1 && <0.2), non-empty (>=0.3.2 && <0.4), prelude-compat (>=0.0 && <0.1), random (>=1.0 && <1.3), semigroups (>=0.17 && <1.0), tfp (>=1.0 && <1.1), 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:0.5.0.1, NixOS:0.5.0.1
Downloads	2928 total (2 in the last 30 days)
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Status	Docs available [build log] Last success reported on 2021-08-06 [all 1 reports]