backward_prob function

Computes backward probabilities

Computes backward probability sequence for a set of capture histories

backward_prob(object, ddl = NULL)

Arguments

• object: fitted crm model (must be an HMM model)
• ddl: design data list

Returns

array of backward probabilities (one for each id, state, occasion)

Examples

#

# 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)

References

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.

Author(s)

Jeff Laake