# hmm.discnp v0.2-0

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## 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 pr Probability of state sequences. logLikHmm Log likelihood of a hidden Markov model hmm Fit a hidden Markov model to discrete data. sp Calculate the conditional state probabilities. mps Most probable states. hmm.discnp-internal Internal hmm.discnp functions. fitted.hmm.discnp Fitted values of a discrete non-parametric hidden Markov model. viterbi Most probable state sequence. sim.hmm Simulate discrete data from a hidden Markov model. No Results!