pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools

The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and Scheipl (2018) <doi:10.1177/1471082X17748083>) is a powerful model class for survival analysis, 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 et. al. (2018) <doi:10.1093/biostatistics/kxy003>. pammtools provides tidy workflow for survival analysis with PAMMs, including data transformation and other pre- and post-processing functions as well as visualization.

Version: 0.1.11
Depends: R (≥ 3.3.0)
Imports: mgcv, survival (≥ 2.39-5), checkmate, magrittr, rlang, tidyr (≥ 0.7.0), 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: 2019-04-18
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_0.1.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: pammtools_0.1.11.tgz, r-oldrel: pammtools_0.1.9.tgz
Old sources: pammtools archive


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