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: |
0.2.4 |
| Depends: |
R (≥ 3.3.0) |
| Imports: |
mgcv, survival (≥ 2.39-5), checkmate, magrittr, rlang, tidyr (≥ 1.0.0), ggplot2 (≥ 3.2.0), dplyr (≥ 1.0.0), purrr (≥
0.2.3), tibble, lazyeval, Formula, mvtnorm, pec, vctrs (≥
0.3.0) |
| Suggests: |
testthat |
| Published: |
2020-06-06 |
| Author: |
Andreas Bender 
[aut, cre],
Fabian Scheipl [aut] |
| Maintainer: |
Andreas Bender <andreas.bender at stat.uni-muenchen.de> |
| BugReports: |
https://github.com/adibender/pammtools/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/adibender/pammtools |
| NeedsCompilation: |
no |
| Citation: |
pammtools citation info |
| Materials: |
README NEWS |
| CRAN checks: |
pammtools results |
Downloads:
Reverse dependencies:
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