| hmm-class {tileHMM} | R Documentation |
Virtual base class for HMMs.
Do not create objects of this class directly. Instead use objects of derived classes like
"contHMM".
transition.matrix:"matrix", storing the transition probabilities of the Markov chain.emission:"list" containing objects of class "dist" to represent emission distributions for each state.init:"numeric". The initial state distribution of the Markov chain.signature(hmm = "hmm", obs = "list"): Baum-Welch algorithm to estimate model parameters.signature(hmm = "hmm", obs = "list"): Viterbi training to estimate model parameters.signature(hmm = "hmm"): Viterbi algorithm to calculate most likely state sequence.signature(hmm = "hmm"): Computing of backward variables.signature(hmm = "hmm"): Computing of forward variables.signature(hmm = "hmm"): Returns state names.Peter Humburg
contHMM, baumWelch, viterbiTraining,
viterbi, forward, backward, states
showClass("hmm")