marked (version 1.2.6)

backward_prob: Computes backward probabilities

Description

Computes backward probability sequence for a set of capture histories

Usage

backward_prob(object, ddl = NULL)

Value

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

Arguments

object

fitted crm model (must be an HMM model)

ddl

design data list

Author

Jeff Laake

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.

Examples

#
# \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)
# }