msm (1.6.4)
MultiState Markov and Hidden Markov Models in Continuous Time.
http://cran.rproject.org/web/packages/msm
Functions for fitting continuoustime Markov and hidden Markov multistate models to 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 piecewiseconstant in time.
Maintainer:
Christopher Jackson
Author(s): Christopher Jackson <chris.jackson@mrcbsu.cam.ac.uk>
License: GPL (>= 2)
Uses: expm, mvtnorm, survival, numDeriv, foreach, mstate, testthat, minqa, flexsurv, doParallel
Reverse depends: BaSTA, Biograph, bscr, BVS, CatDyn, CEoptim, ctarma, eiPack, geiger, glmdm, GLMMarp, lordif, ltm, NEff, NHMM, phytools, RM2, RMark, rriskDistributions, score, Surrogate, surveillance, trioGxE, WPC
Reverse suggests: flexsurv, geiger, markovchain, oro.pet, surveillance
Released about 1 month ago.
22 previous versions
 msm_1.6.1. Released 9 months ago.
 msm_1.6. Released about 1 year ago.
 msm_1.5. Released almost 2 years ago.
 msm_1.4. Released over 2 years ago.
 msm_1.3. Released almost 3 years ago.
 msm_1.2. Released over 3 years ago.
 msm_1.1.4. Released almost 4 years ago.
 msm_1.1.3. Released about 4 years ago.
 msm_1.1.2. Released over 4 years ago.
 msm_1.1.1. Released over 4 years ago.
 msm_1.1. Released about 5 years ago.
 msm_1.0.1. Released over 5 years ago.
 msm_1.0. Released about 6 years ago.
 msm_0.9.7. Released over 6 years ago.
 msm_0.9.6. Released almost 7 years ago.
 msm_0.9.5. Released about 7 years ago.
 msm_0.9.4. Released about 7 years ago.
 msm_0.9.3. Released over 7 years ago.
 msm_0.9.2. Released over 7 years ago.
 msm_0.9.1. Released over 7 years ago.
 msm_0.8.1. Released over 8 years ago.
 msm_0.7.6. Released almost 9 years ago.
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Visit msm on R Graphical Manual.