Package: r-cran-pammtools
Version: 0.7.4-1
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: 869
Depends: 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), r-cran-scam
Recommends: r-cran-testthat, r-cran-mstate, r-cran-broom
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=pammtools
Description: 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
 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.
