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mstate: Data Preparation, Estimation and Prediction in Multi-State Models

Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models, see Putter, Fiocco, Geskus (2007) <doi:10.1002/sim.2712>.

Version: 0.3.3
Depends: survival (≥ 3.1)
Imports: rlang, data.table, lattice, RColorBrewer, viridisLite
Suggests: cmprsk, ggplot2, knitr, rmarkdown, relsurv (≥ 2.2-5)
Published: 2024-07-11
DOI: 10.32614/CRAN.package.mstate
Author: Hein Putter [aut, cre], Liesbeth C. de Wreede [aut], Marta Fiocco [aut], Ronald B. Geskus [ctb], Edouard F. Bonneville [aut], Damjan Manevski [ctb]
Maintainer: Hein Putter <H.Putter at lumc.nl>
BugReports: https://github.com/hputter/mstate/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/hputter/mstate
NeedsCompilation: yes
Citation: mstate citation info
Materials: README NEWS
In views: Epidemiology, Survival
CRAN checks: mstate results

Documentation:

Reference manual: mstate.pdf
Vignettes: Visualising multi-state models using mstate
Using mstate for the analyses of Putter et al. (Stat Med 2007)

Downloads:

Package source: mstate_0.3.3.tar.gz
Windows binaries: r-devel: mstate_0.3.3.zip, r-release: mstate_0.3.3.zip, r-oldrel: mstate_0.3.3.zip
macOS binaries: r-release (arm64): mstate_0.3.3.tgz, r-oldrel (arm64): mstate_0.3.3.tgz, r-release (x86_64): mstate_0.3.3.tgz, r-oldrel (x86_64): mstate_0.3.3.tgz
Old sources: mstate archive

Reverse dependencies:

Reverse depends: ebmstate
Reverse imports: calibmsm, flexsurv, icmstate, Landmarking, markovMSM, maxcombo, OptimalTiming, randomizeR, simIDM
Reverse suggests: cohorttools, dynpred, Epi, GFDrmtl, globaltest, hesim, msm, popEpi, PScr, riskRegression, rstpm2, survCurve, survivalVignettes

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mstate 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.