msm (1.2)
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: mvtnorm, survival, diagram, mstate
Reverse depends: BaSTA, Biograph, bscr, BVS, CatDyn, ctarma, eiPack, geiger, glmdm, GLMMarp, lordif, ltm, phytools, RM2, RMark, rriskDistributions, surveillance, trioGxE
Reverse suggests: oro.pet, surveillance
Released about 1 month ago.
16 previous versions
- msm_1.1.4. Released 6 months ago.
- msm_1.1.3. Released 9 months ago.
- msm_1.1.2. Released 11 months ago.
- msm_1.1.1. Released about 1 year ago.
- msm_1.1. Released almost 2 years ago.
- msm_1.0.1. Released about 2 years ago.
- msm_1.0. Released over 2 years ago.
- msm_0.9.7. Released about 3 years ago.
- msm_0.9.6. Released over 3 years ago.
- msm_0.9.5. Released over 3 years ago.
- msm_0.9.4. Released over 3 years ago.
- msm_0.9.3. Released almost 4 years ago.
- msm_0.9.2. Released almost 4 years ago.
- msm_0.9.1. Released about 4 years ago.
- msm_0.8.1. Released almost 5 years ago.
- msm_0.7.6. Released over 5 years ago.
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Visit msm on R Graphical Manual.
