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 modeled in terms of
covariates. A variety of observation schemes are supported, including
processes observed at arbitrary times, completely-observed processes,
and censored states.
