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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: hmm.discnp results


Reference manual: hmm.discnp.pdf
Package source: hmm.discnp_0.2-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: hmm.discnp_0.2-4.tgz, r-oldrel: hmm.discnp_0.2-4.tgz
Old sources: hmm.discnp archive


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