msm (0.9.1)
Multi-state Markov and hidden Markov models in continuous time.
http://cran.r-project.org/web/packages/msm
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.
Maintainer:
Christopher Jackson
Author(s): Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
License: GPL (>= 2)
Uses: Does not use any package
Reverse depends: BaSTA, Biograph, bscr, BVS, CatDyn, ctarma, eiPack, geiger, glmdm, GLMMarp, lordif, ltm, phytools, RM2, RMark, rriskDistributions, surveillance, trioGxE
Reverse suggests: oro.pet, surveillance
Released almost 4 years ago.
