global_decode {marked} | R Documentation |
Global decoding of HMM
Description
Computes sequence of state predictions for each individual
Usage
global_decode(object, ddl = NULL, state.names = NULL)
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 |
Value
matrix of state predictions
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 82.
Examples
#
# 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)
[Package marked version 1.2.8 Index]