Multi-state Markov and hidden Markov models in continuous time
Description
Functions for fitting general continuous-time Markov and hidden
Markov multi-state models to longitudinal data. Both Markov
transition rates and the hidden Markov output process can be modelled
in terms of covariates. A variety of observation schemes are
supported, including processes observed at arbitrary times,
completely-observed processes, and censored states.