Continuous-time Markov and hidden Markov multi-state models for longitudinal data. Designed for processes observed at arbitrary times in continuous time (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.
| Version: | 1.5 |
| Imports: | survival, mvtnorm, expm |
| Suggests: | mstate, minqa, doParallel, foreach, numDeriv, testthat, flexsurv |
| Published: | 2015-01-06 |
| Author: | Christopher Jackson |
| Maintainer: | Christopher Jackson <chris.jackson at mrc-bsu.cam.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | msm citation info |
| Materials: | NEWS ChangeLog |
| In views: | Distributions, Survival |
| CRAN checks: | msm results |
| Reference manual: | msm.pdf |
| Vignettes: |
User guide to msm with worked examples |
| Package source: | msm_1.5.tar.gz |
| Windows binaries: | r-devel: msm_1.5.zip, r-release: msm_1.5.zip, r-oldrel: msm_1.5.zip |
| OS X Snow Leopard binaries: | r-release: msm_1.5.tgz, r-oldrel: msm_1.5.tgz |
| OS X Mavericks binaries: | r-release: msm_1.5.tgz |
| Old sources: | msm archive |
| Reverse depends: | ATmet, BaSTA, BVS, CEoptim, eiPack, hysteresis, lordif, ltm, NEff, NHMM, RM2, score, spatial.gev.bma, Surrogate, trioGxE |
| Reverse imports: | breakpoint, CIDnetworks, clustMD, decisionSupport, gems, gmnl, httk, iBATCGH, optBiomarker, parfm, phytools, Rchoice, RMark, rriskDistributions, rtdists, sparsereg, TAM |
| Reverse suggests: | flexsurv, markovchain, oro.pet, surveillance |