## hmm.discnp: Hidden Markov Models with Discrete Non-Parametric Observation
Distributions

Fits hidden Markov models with discrete non-parametric
observation distributions to data sets. Simulates data
from such models. Finds most probable underlying hidden
states, the most probable sequences of such states, and the
log likelihood of a collection of observations given the
parameters of the model.

Version: |
0.2-4 |

Depends: |
R (≥ 0.99) |

Published: |
2016-04-08 |

Author: |
Rolf Turner |

Maintainer: |
Rolf Turner <r.turner at auckland.ac.nz> |

BugReports: |
NA |

License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

URL: |
NA |

NeedsCompilation: |
yes |

Materials: |
ChangeLog |

CRAN checks: |
hmm.discnp results |

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