hmmspec {mhsmm} | R Documentation |
Creates a model specficiation for a hidden Markov model
hmmspec(init, trans, emission, r = rnorm.hsmm, f = dnorm.hsmm)
init |
Distribution of states at t=1 ie. P(S=s) at t=1 |
trans |
The transition matrix of the Markov chain |
emission |
A list containing the parameters of the emission distribution |
r |
The function used to generate observations from the emission distribution |
f |
Density function of the emission distribution. |
A hmmspec object
Jared O'Connell
Rabiner, L. (1989), A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, 77, 257-286.
simulate.hmmspec, simulate.hmm, hmm, predict.hmm