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) .

mstate

Installation

You can install the released version of mstate from CRAN with:

install.packages("mstate")

Alternatively, you can install the development version from GitHub:

devtools::install_github("hputter/mstate")

Reference manual

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install.packages("mstate")

0.3.3 by Hein Putter, 2 years ago

https://github.com/hputter/mstate

Report a bug at https://github.com/hputter/mstate/issues

Browse source code at https://github.com/cran/mstate

Authors: Hein Putter [aut, cre] , Liesbeth C. de Wreede [aut] , Marta Fiocco [aut] , Ronald B. Geskus [ctb] , Edouard F. Bonneville [aut] , Damjan Manevski [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports rlang, data.table, lattice, RColorBrewer, viridisLite

Depends on survival

Suggests cmprsk, ggplot2, knitr, rmarkdown, relsurv

Imported by Landmarking, OptimalTiming, calibmsm, dscoreMSM, flassomsm, flexsurv, icmstate, markovMSM, maxcombo, presmoothedTP, randomizeR, simIDM.

Depended on by ebmstate.

Suggested by Epi, GFDrmtl, PScr, clusteredMSM, cohorttools, hesim, mccount, msm, pammtools, popEpi, riskRegression, rstpm2, survCurve, survivalVignettes.

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