hmm-lapack: Hidden Markov Models using HMatrix primitives

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Hidden Markov Models implemented using HMatrix 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.

Properties

Versions 0.3, 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), boxes (>=0.1.5 && <0.2), comfort-array (>=0.2 && <0.3), containers (>=0.4.2 && <0.7), deepseq (>=1.3 && <1.5), explicit-exception (>=0.1.7 && <0.2), fixed-length (>=0.2 && <0.3), lapack (>=0.2 && <0.3), lazy-csv (>=0.5 && <0.6), netlib-ffi (>=0.1.1 && <0.2), non-empty (>=0.2.1 && <0.4), prelude-compat (>=0.0 && <0.1), QuickCheck (>=2.5 && <3), random (>=1.0 && <1.2), semigroups (>=0.17 && <0.19), 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 http://hub.darcs.net/thielema/hmm-hmatrix
Source repo this: darcs get http://hub.darcs.net/thielema/hmm-hmatrix --tag 0.3
head: darcs get http://hub.darcs.net/thielema/hmm-hmatrix
Uploaded by HenningThielemann at 2019-01-05T19:19:21Z

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