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marked (version 1.2.8)

global_decode: Global decoding of HMM

Description

Computes sequence of state predictions for each individual

Usage

global_decode(object, ddl = NULL, state.names = NULL)

Value

matrix of state predictions

Arguments

object

fitted crm model (must be an HMM model)

ddl

design data list; will be computed if NULL

state.names

names for states used to label output; if NULL uses strata.labels + Dead state

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 82.

Examples

Run this code
#
# \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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