pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis

The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (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 (2018) <doi:10.1093/biostatistics/kxy003>. 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: 0.1.14
Depends: R (≥ 3.3.0)
Imports: mgcv, survival (≥ 2.39-5), checkmate, magrittr, rlang, tidyr (≥ 0.8.3), ggplot2, dplyr (≥ 0.7.0), purrr (≥ 0.2.3), tibble, msm, lazyeval, Formula, mvtnorm
Suggests: RColorBrewer, scam, coxme, testthat, timereg, knitr, rmarkdown, grid, gridExtra, covr, pkgdown
Published: 2019-09-08
Author: Andreas Bender ORCID iD [aut, cre], Fabian Scheipl [aut]
Maintainer: Andreas Bender <andreas.bender at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: pammtools citation info
Materials: README NEWS
CRAN checks: pammtools results


Reference manual: pammtools.pdf
Package source: pammtools_0.1.14.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: pammtools_0.1.14.tgz, r-oldrel: pammtools_0.1.14.tgz
Old sources: pammtools archive


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