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 data as well as competing risks, recurrent events and multi-state settings. 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: 0.7.3 Depends: R (≥ 4.1.0) Imports: mgcv, survival (≥ 2.39-5), checkmate, magrittr, rlang, tidyr (≥ 1.0.0), ggplot2 (≥ 3.2.2), dplyr (≥ 1.0.0), purrr (≥ 0.2.3), tibble, lazyeval, Formula, mvtnorm, pec, vctrs (≥ 0.3.0), scam Suggests: testthat, mstate Published: 2025-03-24 DOI: 10.32614/CRAN.package.pammtools Author: Andreas Bender [aut, cre], Fabian Scheipl [aut], Johannes Piller [aut], Philipp Kopper [aut], Lukas Burk [ctb] Maintainer: Andreas Bender <andreas.bender at stat.uni-muenchen.de> BugReports: https://github.com/adibender/pammtools/issues License: MIT + file LICENSE URL: https://adibender.github.io/pammtools/ NeedsCompilation: no Citation: pammtools citation info Materials: README NEWS CRAN checks: pammtools results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=pammtools to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4