msm (1.3)

1 user

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. A variety of observation schemes are supported, including processes observed at arbitrary times (panel data), continuously-observed processes, and censored states. 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.

Maintainer: Christopher Jackson
Author(s): Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>

License: GPL (>= 2)

Uses: expm, mvtnorm, survival, mstate
Reverse depends: BaSTA, Biograph, bscr, BVS, CatDyn, ctarma, eiPack, geiger, glmdm, GLMMarp, lordif, ltm, phytools, RM2, RMark, rriskDistributions, surveillance, trioGxE
Reverse suggests: geiger, oro.pet, surveillance

Released 3 months ago.


17 previous versions

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  3.5/5 (2 votes)

Documentation:

  4.0/5 (2 votes)

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