backward_prob: Computes backward probabilities

In marked: Mark-Recapture Analysis for Survival and Abundance Estimation

Computes backward probabilities

Description

Computes backward probability sequence for a set of capture histories

Usage

backward_prob(object, ddl = NULL)

Arguments

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

Value

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

Author(s)

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

#

# 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)

marked documentation built on Oct. 19, 2023, 5:06 p.m.