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: | 0.1-8 |
| Depends: | R (≥ 0.99) |
| Published: | 2012-03-02 |
| Author: | Rolf Turner and Limin Liu. |
| Maintainer: | Rolf Turner <r.turner at auckland.ac.nz> |
| License: | GPL (≥ 2) |
| URL: | http://www.math.unb.ca/~rolf/ |
| CRAN checks: | hmm.discnp results |
| Package source: | hmm.discnp_0.1-8.tar.gz |
| MacOS X binary: | hmm.discnp_0.1-8.tgz |
| Windows binary: | hmm.discnp_0.1-8.zip |
| Reference manual: | hmm.discnp.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | hmm.discnp archive |