hsmmspec {mhsmm}R Documentation

Hidden semi-Markov model specification

Description

Creates a model specification of a hidden semi-Markov model.

Usage

hsmmspec(init, transition, emission, sojourn, r = rnorm.hsmm)

Arguments

init Distribution of states at t=1 ie. P(S=s) at t=1
transition The transition matrix of the embedded Markov chain (diagonal must be 0)
emission A list containing the parameters of the emission distribution
sojourn A list containining the parameters and type of sojourn distribtuion (see Details)
r The function used to generate observations from the emission distribution

Details

This provides a

Value

An object of class hsmmspec

Author(s)

Jared O'Connell

References

Guedon, Y. (2003), Estimating hidden semi-Markov chains from discrete sequences, Journal of Computational and Graphical Statistics, Volume 12, Number 3, page 604-639 - 2003

See Also

hsmm, simulate.hsmmspec, predict.hsmm


[Package mhsmm version 0.1.0 Index]