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GNU R 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.

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38 other people were interested in this package here. The newest known version of this software is 1.6.1-1 (Information last updated 5 days ago.)