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Computes sequence of state predictions for each individual
global_decode(object, ddl = NULL, state.names = NULL)
matrix of state predictions
fitted crm model (must be an HMM model)
design data list; will be computed if NULL
names for states used to label output; if NULL uses strata.labels + Dead state
Jeff Laake
Zucchini, W. and I.L. MacDonald. 2009. Hidden Markov Models for Time Series: An Introduction using R. Chapman and Hall, Boca Raton, FL. See page 82.
# # \donttest{ # This example is excluded from testing to reduce package check time # cormack-jolly-seber model data(dipper) mod=crm(dipper,model="hmmcjs") global_decode(mod) # }
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