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R-msm - Multi-state Markov and hidden Markov models in continuous time
- 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.
Packages
R-msm-0.9.7-1.el6.i686
[776 KiB] |
Changelog
by Denis Arnaud (2010-07-14):
- Update to 0.9.7
- Update spec for R 2.10.0 (fixes the same bug as FTBFS bug #539041)
|