hmm.discnp v0.1-7


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by Rolf Turner

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.

Functions in hmm.discnp

Name Description
sp Calculate the conditional state probabilities.
pr Probability of state sequences.
logLikHmm Log likelihood of a hidden Markov model
hmm.discnp-internal Internal hmm.discnp functions.
viterbi Most probable state sequence.
mps Most probable states.
sim.hmm Simulate discrete data from a hidden Markov model.
fitted.hmm.discnp Fitted values of a discrete non-parametric hidden Markov model.
hmm Fit a hidden Markov model to discrete data.
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Date 2012-02-09
License GPL (>= 2)
Packaged 2012-02-09 02:17:56 UTC; rolf
Repository CRAN
Date/Publication 2012-02-09 08:07:27

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