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> |
| 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: hmm.discnp_0.2-4.zip, r-release: hmm.discnp_0.2-4.zip, r-oldrel: hmm.discnp_0.2-4.zip |
| 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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