pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools forSurvival Analysis
The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others (2018) <doi:10.1177/1471082X17748083>) is a powerful model class for the analysis of survival (or time-to-event) data, based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated data as well as competing risks, recurrent events and multi-state settings. pammtools provides tidy workflow for survival analysis with PAMMs, including data simulation, transformation and other functions for data preprocessing and model post-processing as well as visualization.
| Version: | 0.7.3 |
| Depends: | R (≥ 4.1.0) |
| Imports: | mgcv,survival (≥ 2.39-5),checkmate,magrittr,rlang,tidyr (≥ 1.0.0),ggplot2 (≥ 3.2.2),dplyr (≥ 1.0.0),purrr (≥0.2.3),tibble,lazyeval,Formula,mvtnorm,pec,vctrs (≥0.3.0),scam |
| Suggests: | testthat,mstate |
| Published: | 2025-03-24 |
| DOI: | 10.32614/CRAN.package.pammtools |
| Author: | Andreas Bender [aut, cre], Fabian Scheipl [aut], Johannes Piller [aut], Philipp Kopper [aut], Lukas Burk [ctb] |
| Maintainer: | Andreas Bender <andreas.bender at stat.uni-muenchen.de> |
| BugReports: | https://github.com/adibender/pammtools/issues |
| License: | MIT + fileLICENSE |
| URL: | https://adibender.github.io/pammtools/ |
| NeedsCompilation: | no |
| Citation: | pammtools citation info |
| Materials: | README,NEWS |
| CRAN checks: | pammtools results |
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