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")