Package: r-cran-pammtools
Version: 0.5.8-1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 798
Depends: r-base-core (>= 4.1.2-1ubuntu1), r-api-4.0, r-cran-mgcv, r-cran-survival (>= 2.39-5), r-cran-checkmate, r-cran-magrittr, r-cran-rlang, r-cran-tidyr (>= 1.0.0), r-cran-ggplot2 (>= 3.2.2), r-cran-dplyr (>= 1.0.0), r-cran-purrr (>= 0.2.3), r-cran-tibble, r-cran-lazyeval, r-cran-formula, r-cran-mvtnorm, r-cran-pec, r-cran-vctrs (>= 0.3.0)
Recommends: r-cran-testthat
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=pammtools
Description: GNU R piece-wise exponential additive mixed modeling tools
 This package provides 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.
