DESCRIPTION

Package: pammtools
Title: Piece-Wise Exponential Additive Mixed Modeling Tools for Survival Analysis
Version: 0.5.93
Date: 2024-02-24
Authors@R: c(
    person("Andreas", "Bender", , "andreas.bender@stat.uni-muenchen.de", role = c("aut", "cre"), comment=c(ORCID = "0000-0001-5628-8611")),
    person("Fabian", "Scheipl", , "fabian.scheipl@stat.uni-muenchen.de", role = c("aut"), comment = c(ORCID = "0000-0001-8172-3603")),
    person("Philipp", "Kopper", , "philipp.kopper@stat.uni-muenchen.de", role = c("aut"), comment = c(ORCID="0000-0002-5037-7135")),
    person("Lukas", "Burk", , "burk@leibniz-bips.de", role = c("ctb"),
        comment = c(ORCID="0000-0001-7528-3795")))
Description: 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.
Depends:
    R (>= 3.5.0)
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)
Suggests:
    testthat
Config/Needs/website:
  coxme,
  eha,
  etm,
  scam,
  TBFmultinomial
License: MIT + file LICENSE
LazyData: true
URL: https://adibender.github.io/pammtools/
BugReports: https://github.com/adibender/pammtools/issues
RoxygenNote: 7.1.2
Encoding: UTF-8
Roxygen: list(markdown = TRUE)