Source: r-cran-pammtools
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 13),
 dh-r,
 r-base-dev,
 r-cran-mgcv,
 r-cran-survival,
 r-cran-checkmate,
 r-cran-magrittr,
 r-cran-rlang,
 r-cran-tidyr,
 r-cran-ggplot2,
 r-cran-dplyr,
 r-cran-purrr,
 r-cran-tibble,
 r-cran-lazyeval,
 r-cran-formula,
 r-cran-mvtnorm,
 r-cran-pec,
 r-cran-vctrs,
 r-cran-scam,
 architecture-is-64-bit,
 architecture-is-little-endian,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-pammtools
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-pammtools.git
Homepage: https://cran.r-project.org/package=pammtools

Package: r-cran-pammtools
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
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.
