viterbi.msm {msm}R Documentation

Calculate the most likely path through underlying states

Description

For a fitted hidden Markov model, or a model with censored state observations, the Viterbi algorithm recursively constructs the path with the highest probability through the underlying states.

Usage

viterbi.msm(x)

Arguments

x

A fitted hidden Markov multi-state model, or a model with censored state observations, as produced by msm

Value

A data frame with columns:

subject = subject identification numbers

time = times of observations

observed = corresponding observed states

fitted = corresponding fitted states found by Viterbi recursion. If the model is not a hidden Markov model and there are no censored state observations, this is just the observed states.

Author(s)

C. H. Jackson chris.jackson@mrc-bsu.cam.ac.uk

References

Durbin, R., Eddy, S., Krogh, A. and Mitchison, G. Biological sequence analysis, Cambridge University Press, 1998.

See Also

msm


[Package msm version 1.3 Index]