Multi-state Markov and hidden Markov models in continuous time
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.

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.

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, which may be constant
or piecewise-constant in time.  A variety of observation
schemes are supported, including processes observed at
arbitrary times (panel data), continuously-observed processes,
and censored states.

Functions for fitting general continuous-time Markov and
hidden Markov multi-state models to longitudinal data.  A
variety of observation schemes are supported, including
processes observed at arbitrary times (panel data),
continuously-observed processes, and censored states. Both
Markov transition rates and the hidden Markov output process
can be modelled in terms of covariates, which may be constant
or piecewise-constant in time.

Functions for fitting general continuous-time Markov and
hidden Markov multi-state models to longitudinal data.  A variety of
observation schemes are supported, including processes observed at
arbitrary times (panel data), continuously-observed processes, and
censored states. Both Markov transition rates and the hidden Markov
output process can be modelled in terms of covariates, which may be
constant or piecewise-constant in time.