find_state_seq: Viterbi algorithm for HMM
In proclhmm: Latent Hidden Markov Models for Response Process Data
find_state_seq R Documentation
Viterbi algorithm for HMM
Description
Find the most likely hidden state sequence of an observed sequence under HMM
Usage
find_state_seq(seq, P1, P, Q)
Arguments
seq
An action sequence coded in integers
P1
initial state probability vector of length K
P
K by K state transition probability matrix
Q
K by N state-action (emission) probability matrix
Value
a hidden state sequence coded in integers
proclhmm documentation built on June 22, 2024, 10:02 a.m.
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| find_state_seq | R Documentation |
Viterbi algorithm for HMM
Description
Find the most likely hidden state sequence of an observed sequence under HMM
Usage
find_state_seq(seq, P1, P, Q)
Arguments
seq |
An action sequence coded in integers |
P1 |
initial state probability vector of length |
P |
|
Q |
|
Value
a hidden state sequence coded in integers
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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