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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
Release | Stable | Testing |
---|---|---|
Fedora Rawhide | 1.6.8-9.fc35 | - |
Fedora 35 | 1.6.8-9.fc35 | - |
Fedora 34 | 1.6.8-7.fc34 | - |
You can contact the maintainers of this package via email at
R-msm dash maintainers at fedoraproject dot org
.