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CRAN: Package mstate

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

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