For a given model, computes the probability of the process being in the different states
at each time point.
Usage
stateProbs(m, hierarchical = FALSE)
Value
The matrix of state probabilities, with element [i,j] the probability
of being in state j in observation i.
Arguments
m
A momentuHMM or momentuHierHMM object.
hierarchical
Logical indicating whether or not to return a list of state probabilities for each level of a hierarchical HMM. Ignored unless m is a momentuHierHMM object.
References
Zucchini, W. and MacDonald, I.L. 2009.
Hidden Markov Models for Time Series: An Introduction Using R.
Chapman & Hall (London).