hmm.discnp: Hidden Markov Models with Discrete Non-Parametric Observation Distributions
Version 0.2-4

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.

Getting started

Package details

AuthorRolf Turner
Date of publication2016-04-08 11:33:08
MaintainerRolf Turner <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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hmm.discnp documentation built on May 29, 2017, 12:28 p.m.