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Computes backward probability sequence for a set of capture histories
backward_prob(object, ddl = NULL)
array of backward probabilities (one for each id, state, occasion)
fitted crm model (must be an HMM model)
design data list
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 61.
# # \donttest{ # This example is excluded from testing to reduce package check time # cormack-jolly-seber model data(dipper) mod=crm(dipper,model="hmmcjs") backward_prob(mod) # }
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