# 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 [faq] | 0.3, 0.3.0.1, 0.3.0.2, 0.3.0.3, 0.4 |
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Change log | Changes.md |

Dependencies | base (>=4.5 && <5), comfort-array (==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 (==0.3.*), lazy-csv (==0.5.*), netlib-ffi (>=0.1.1 && <0.2), non-empty (>=0.3.2 && <0.4), prelude-compat (==0.0.*), QuickCheck (>=2.5 && <3), random (>=1.0 && <1.2), 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 | http://hub.darcs.net/thielema/hmm-lapack |

Source repo | this: darcs get http://hub.darcs.net/thielema/hmm-lapack --tag 0.4 head: darcs get http://hub.darcs.net/thielema/hmm-lapack |

Uploaded | by HenningThielemann at 2019-05-24T05:34:15Z |

Distributions | NixOS:0.4, Stackage:0.4 |

Downloads | 1612 total (141 in the last 30 days) |

Rating | (no votes yet) [estimated by Bayesian average] |

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Status | Docs uploaded by user Build status unknown [no reports yet] |

## Modules

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## Downloads

- hmm-lapack-0.4.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)