For a given model, reconstructs the most probable states sequence, using the Viterbi algorithm.
Logical indicating whether or not to return a list of Viterbi-decoded states for each level of a hierarchical HMM. Ignored unless
The sequence of most probable states. If
TRUE, then a list of the most probable states for each level of the hierarchy is returned.
Zucchini, W. and MacDonald, I.L. 2009. Hidden Markov Models for Time Series: An Introduction Using R. Chapman & Hall (London).
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