# hmm.discnp v0.2-4

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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 colifCount Coliform counts in sea-water samples pr Probability of state sequences. sim.hmm Simulate discrete data from a hidden Markov model. viterbi Most probable state sequence. mps Most probable states. fitted.hmm.discnp Fitted values of a discrete non-parametric hidden Markov model. hmm.discnp-internal Internal hmm.discnp functions. logLikHmm Log likelihood of a hidden Markov model sp Calculate the conditional state probabilities. hmm Fit a hidden Markov model to discrete data. lesionCount Multiple sclerosis lesion counts for three patients. No Results!