pammtools {pammtools}R Documentation

pammtools: Piece-wise exponential Additive Mixed Modeling tools.

Description

pammtools provides functions and utilities that facilitate fitting Piece-wise Exponential Additive Mixed Models (PAMMs), including data transformation and other convenience functions for pre- and post-processing as well as plotting.

Details

The best way to get an overview of the functionality provided and how to fit PAMMs is to view the vignettes available at https://adibender.github.io/pammtools/articles/. A summary of the vignettes' content is given below:

Author(s)

Maintainer: Andreas Bender andreas.bender@stat.uni-muenchen.de (ORCID)

Authors:

Other contributors:

References

Bender, Andreas, Andreas Groll, and Fabian Scheipl. 2018. “A Generalized Additive Model Approach to Time-to-Event Analysis” Statistical Modelling, February. https://doi.org/10.1177/1471082X17748083.

Bender, Andreas, Fabian Scheipl, Wolfgang Hartl, Andrew G. Day, and Helmut Küchenhoff. 2019. “Penalized Estimation of Complex, Non-Linear Exposure-Lag-Response Associations.” Biostatistics 20 (2): 315–31. https://doi.org/10.1093/biostatistics/kxy003.

Bender, Andreas, and Fabian Scheipl. 2018. “pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools.” ArXiv:1806.01042 Stat, June. https://arxiv.org/abs/1806.01042. Ramjith J, Bender A, Roes KCB, Jonker MA. Recurrent events analysis with piece-wise exponential additive mixed models. 2022. Statistical Modelling., 2022

See Also

Useful links:


[Package pammtools version 0.7.3 Index]