Multi-state Markov and hidden Markov models in continuous time CRAN Task View: Survival (http://CRAN.R-project.org/view=Survival) 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. Software Imports: survival,mvtnorm Suggests: mstate,diagram Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk> Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk> GPL (>= 2) 2012-05-11 application/tgz http://CRAN.R-project.org/package=msm