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.
- Version0.5.93
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- pammtools citation info
- Last release02/25/2024
Documentation
Team
Andreas Bender
Fabian Scheipl
Show author detailsRolesAuthorLukas Burk
Show author detailsRolesContributorPhilipp Kopper
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports15 packages
- Suggests1 package
- Reverse Imports4 packages
- Reverse Suggests2 packages