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pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival 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, competing risks and recurrent events data. 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.
Getting started
Browse package contents
Package details |
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| Author | Andreas Bender [aut, cre] (<https://orcid.org/0000-0001-5628-8611>), Fabian Scheipl [aut] (<https://orcid.org/0000-0001-8172-3603>), Philipp Kopper [aut] (<https://orcid.org/0000-0002-5037-7135>), Lukas Burk [ctb] (<https://orcid.org/0000-0001-7528-3795>) |
| Maintainer | Andreas Bender <andreas.bender@stat.uni-muenchen.de> |
| License | MIT + file LICENSE |
| Version | 0.5.92 |
| URL | https://adibender.github.io/pammtools/ |
| Package repository | View on CRAN |
| Installation |
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