Description
Virtual base class for HMMs.Objects from the Class
Do not create objects of this class directly. Instead use objects of derived classes like
"contHMM".Slots
transition.matrix:- Object of class
"matrix", storing the transition probabilities of the Markov chain. emission:- Object of class
"list" containing objects of class "dist" to represent emission distributions for each state. init:- Object of class
"numeric". The initial state distribution of the Markov chain.
Methods
- baumWelch
signature(hmm = "hmm", obs = "list"): Baum-Welch algorithm to estimate model parameters. - viterbiTraining
signature(hmm = "hmm", obs = "list"): Viterbi training to estimate model parameters. - viterbi
signature(hmm = "hmm"): Viterbi algorithm to calculate most likely state sequence. - backward
signature(hmm = "hmm"): Computing of backward variables. - forward
signature(hmm = "hmm"): Computing of forward variables. - states
signature(hmm = "hmm"): Returns state names. - show
signature(object = "hmm"): Print summary of hmm object.