Collection of functions to evaluate sequences, decode hidden states and estimate parameters from a single or multiple sequences of a discrete time Hidden Markov Model. The observed values can be modeled by a multinomial distribution for categorical/labeled emissions, a mixture of Gaussians for continuous data and also a mixture of Poissons for discrete values. It includes functions for random initialization, simulation, backward or forward sequence evaluation, Viterbi or forwardbackward decoding and parameter estimation using an ExpectationMaximization approach.
Package details 


Author  Roberto A. CardenasOvando, Julieta Noguez and Claudia RangelEscareno 
Maintainer  Roberto A. CardenasOvando <robalecarova@gmail.com> 
License  GPL (>= 2) 
Version  1.2.2 
Package repository  View on CRAN 
Installation 
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