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msm: Multi-State Markov and Hidden Markov Models in Continuous Time

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 (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: 1.8.2
Imports: survival, mvtnorm, expm, generics, tibble
Suggests: mstate, minqa, doParallel, foreach, numDeriv, testthat, flexsurv, covr
Published: 2024-11-07
DOI: 10.32614/CRAN.package.msm
Author: Christopher Jackson [aut, cre]
Maintainer: Christopher Jackson <chris.jackson at mrc-bsu.cam.ac.uk>
BugReports: https://github.com/chjackson/msm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/chjackson/msm, https://chjackson.github.io/msm/
NeedsCompilation: yes
Citation: msm citation info
Materials: NEWS ChangeLog
In views: Distributions, Survival
CRAN checks: msm results

Documentation:

Reference manual: msm.pdf
Vignettes: User guide to msm with worked examples (source, R code)

Downloads:

Package source: msm_1.8.2.tar.gz
Windows binaries: r-devel: msm_1.8.2.zip, r-release: msm_1.8.2.zip, r-oldrel: msm_1.8.2.zip
macOS binaries: r-release (arm64): msm_1.8.2.tgz, r-oldrel (arm64): msm_1.8.2.tgz, r-release (x86_64): msm_1.8.2.tgz, r-oldrel (x86_64): msm_1.8.2.tgz
Old sources: msm archive

Reverse dependencies:

Reverse depends: CEoptim, elect, hysteresis, ltm, PRIMEplus, score
Reverse imports: ammiBayes, ARCensReg, ARDL, ASSET, ASSIGN, BayesianTools, BayesRGMM, biodosetools, breakpoint, bsam, BSTZINB, ccostr, ccrs, CensSpatial, cfda, clustMD, CopCTS, cosa, decisionSupport, DFIT, difNLR, drugdevelopR, EAinference, eatRep, ei, eiPack, EMC2, endoSwitch, epiphy, EventPredInCure, extrafrail, Families, FLORAL, frailtyEM, gems, gmnl, grmsem, hesim, hmsr, horseshoenlm, httk, ICcalib, icmstate, interactionR, interactionRCS, methInheritSim, OneSampleMR, optBiomarker, oro.pet, PanCanVarSel, parfm, Petersen, pexm, Rchoice, riAFTBART, RMark, rriskDistributions, rtdists, scDECO, semmcmc, SightabilityModel, simExam, SizeEstimation, sparsereg, SPAS, spBFA, spCP, stochLAB, Surrogate, surrosurv, tradepolicy, TrenchR, TropFishR, varTestnlme, VirtualPop, womblR, wxgenR
Reverse suggests: fic, fitteR, flexsurv, markovchain, MCMCglmm, nhm, pder, qte, SANTA, surveillance

Linking:

Please use the canonical form https://CRAN.R-project.org/package=msm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.