msm-package: Multi-State Markov and Hidden Markov Models in Continuous...
In msm: Multi-State Markov and Hidden Markov Models in Continuous Time
msm-package R Documentation
Multi-State Markov and Hidden Markov Models in Continuous Time
Description
msm: Functions for fitting continuous-time Markov and hidden Markov
multi-state models to longitudinal data. Designed for processes
observed at arbitrary times in continuous time (intermittently
observed or panel data) but some other observation schemes are
supported. 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.
Author(s)
Maintainer: Christopher Jackson chris.jackson@mrc-bsu.cam.ac.uk
See Also
Useful links:
msm documentation built on Nov. 24, 2023, 1:06 a.m.
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| msm-package | R Documentation |
Multi-State Markov and Hidden Markov Models in Continuous Time
Description
msm: Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (intermittently observed or panel data) but some other observation schemes are supported. 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.
Author(s)
Maintainer: Christopher Jackson chris.jackson@mrc-bsu.cam.ac.uk
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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