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: 0.3.1
Depends: survival (≥ 3.1)
Imports: rlang, data.table, magrittr, lattice, RColorBrewer, viridis
Suggests: cmprsk, ggplot2, knitr, rmarkdown
Published: 2020-12-17
Author: Hein Putter [aut, cre], Liesbeth C. de Wreede [aut], Marta Fiocco [aut], Ronald B. Geskus [ctb], Edouard F. Bonneville [ctb], 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://www.lumc.nl/org/bds/research/medische-statistiek/survival-analysis/
NeedsCompilation: yes
Citation: mstate citation info
Materials: README ChangeLog
In views: Survival
CRAN checks: mstate results

Downloads:

Reference manual: mstate.pdf
Vignettes: Visualising multi-state models using mstate
Using mstate for the analyses of Putter et al. (Stat Med 2007)
Package source: mstate_0.3.1.tar.gz
Windows binaries: r-devel: mstate_0.3.1.zip, r-devel-UCRT: mstate_0.3.1.zip, r-release: mstate_0.3.1.zip, r-oldrel: mstate_0.3.1.zip
macOS binaries: r-release (arm64): mstate_0.3.1.tgz, r-release (x86_64): mstate_0.3.1.tgz, r-oldrel: mstate_0.3.1.tgz
Old sources: mstate archive

Reverse dependencies:

Reverse depends: ebmstate, L1mstate
Reverse imports: flexsurv, maxcombo, MIICD, OptimalTiming
Reverse suggests: cohorttools, dynpred, Epi, globaltest, hesim, msm, popEpi, riskRegression, rstpm2, survCurve

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