pammtools: Piece-Wise Exponential Additive Mixed Modeling Tools
Install from CRAN or GitHub using:
# CRAN install.packages("pammtools") # GitHub devtools::install_github("adibender/pammtools")
pammtools offers various utilities and convenience functions that
facilitate working with Piece-wise exponential Additive Mixed Models (PAMMs).
To get started, see the Articles section.
An overview over the packages functionality is given in
- Andreas Bender and Fabian Scheipl, 2018: "pammtools: Piece-wise exponential Additive Mixed Modeling tools", arXiv eprint, 2018, https://arxiv.org/abs/1806.01042
For a tutorial-like introduction to PAMMs see:
- Andreas Bender, Andreas Groll, and Fabian Scheipl. 2018. “A Generalized Additive Model Approach to Time-to-Event Analysis.” Statistical Modelling. https://doi.org/10.1177/1471082X17748083.
A general framework for the representation and estimation of cumulative effects (or exposure-lag-response associations) is described in:
- Andreas Bender, Fabian Scheipl, Wolfgang Hartl, Andrew G Day, Helmut Küchenhoff; "Penalized estimation of complex, non-linear exposure-lag-response associations", Biostatistics, , kxy003, https://doi.org/10.1093/biostatistics/kxy003