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: 0.1-9
Depends: R (≥ 0.99)
Published: 2013-04-18
Author: Rolf Turner and Limin Liu.
Maintainer: Rolf Turner <r.turner at auckland.ac.nz>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.math.unb.ca/~rolf/
NeedsCompilation: yes
CRAN checks: hmm.discnp results

Downloads:

Package source: hmm.discnp_0.1-9.tar.gz
MacOS X binary: hmm.discnp_0.1-9.tgz
Windows binary: hmm.discnp_0.1-9.zip
Reference manual: hmm.discnp.pdf
News/ChangeLog:ChangeLog
Old sources: hmm.discnp archive