Package: msm
Version: 0.4
Date: January 2005
Title: Multi-state Markov models in continuous time
Author: Christopher H. Jackson <chris.jackson@imperial.ac.uk>
Maintainer: Christopher H. Jackson <chris.jackson@imperial.ac.uk>
Description: Functions for fitting continuous-time Markov multi-state
models to categorical processes observed at arbitrary times,
optionally with misclassified responses, and covariates on transition
or misclassification rates.
License: GPL version 2 or newer
Packaged: Fri Jan  7 00:06:05 2005; chris

Package: msm
Version: 0.5.1
Date: 2005-05-25
Title: Multi-state Markov and hidden Markov models in continuous time
Author: Christopher Jackson <chris.jackson@imperial.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@imperial.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 version 2 or newer
Packaged: Wed May 25 13:08:39 2005; chris

Package: msm
Version: 0.5.2
Date: 2005-10-11
Title: Multi-state Markov and hidden Markov models in continuous time
Author: Christopher Jackson <chris.jackson@imperial.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@imperial.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 version 2 or newer
Packaged: Tue Oct 11 22:46:11 2005; chris

Package: msm
Version: 0.5
Date: 2005-03-06
Title: Multi-state Markov and hidden Markov models in continuous time
Author: Christopher Jackson <chris.jackson@imperial.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@imperial.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 version 2 or newer
Packaged: Mon Mar  7 11:19:51 2005; cjackso