Description Usage Arguments Value
Implementation of Viterbi training to get parameters for HMM
1 2 | Rcpp_viterbi_training(states, symbols, pi, A, B, obs, n_iter = 100L,
delta = 1e-09)
|
states |
possible states |
symbols |
possible observations |
pi |
starting points of states |
A |
state transistion probability matrix |
B |
emission probability |
obs |
observations |
estimates of transision prob (A) and emission prob (B)
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