Package: msm
Version: 0.8.1
Date: 2008-07-25
Title: Multi-state Markov and hidden Markov models in continuous time
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
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.
License: GPL-2
Imports: survival,mvtnorm
Packaged: Fri Jul 25 15:32:25 2008; chris

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

Package: msm
Version: 0.8
Date: 2008-03-28
Title: Multi-state Markov and hidden Markov models in continuous time
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
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.
License: GPL-2
Imports: survival,mvtnorm
Packaged: Thu Mar 27 22:36:20 2008; chris

Packaged: Tue Jul 7 11:16:32 2009; chris

Packaged: Thu Aug 20 12:58:45 2009; chris

Packaged: Tue Jun 9 18:43:51 2009; chris

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,