DESCRIPTION

Package: gtsummary
Title: Presentation-Ready Data Summary and Analytic Result
    Tables
Version: 1.4.0.9006
Authors@R: 
    c(person(given = "Daniel D.",
             family = "Sjoberg",
             role = c("aut", "cre"),
             email = "danield.sjoberg@gmail.com",
             comment = c(ORCID = "0000-0003-0862-2018")),
      person(given = "Michael",
             family = "Curry",
             role = "aut",
             comment = c(ORCID = "0000-0002-0261-4044")),
      person(given = "Margie",
             family = "Hannum",
             role = "aut",
             comment = c(ORCID = "0000-0002-2953-0449")),
      person(given = "Joseph",
             family = "Larmarange",
             role = "aut",
             comment = c(ORCID = "0000-0001-7097-700X")),
      person(given = "Karissa",
             family = "Whiting",
             role = "aut",
             comment = c(ORCID = "0000-0002-4683-1868")),
      person(given = "Emily C.",
             family = "Zabor",
             role = "aut",
             comment = c(ORCID = "0000-0002-1402-4498")),
      person(given = "Esther",
             family = "Drill",
             role = "ctb",
             comment = c(ORCID = "0000-0002-3315-4538")),
      person(given = "Jessica",
             family = "Flynn",
             role = "ctb",
             comment = c(ORCID = "0000-0001-8310-6684")),
      person(given = "Jessica",
             family = "Lavery",
             role = "ctb",
             comment = c(ORCID = "0000-0002-2746-5647")),
      person(given = "Stephanie",
             family = "Lobaugh",
             role = "ctb"),
      person(given = "Gustavo",
             family = "Zapata Wainberg",
             role = "ctb",
             comment = c(ORCID = "0000-0002-2524-3637")))
Description: Creates presentation-ready tables summarizing data
    sets, regression models, and more. The code to create the tables is
    concise and highly customizable. Data frames can be summarized with
    any function, e.g. mean(), median(), even user-written functions.
    Regression models are summarized and include the reference rows for
    categorical variables. Common regression models, such as logistic
    regression and Cox proportional hazards regression, are automatically
    identified and the tables are pre-filled with appropriate column
    headers.
License: MIT + file LICENSE
URL: https://github.com/ddsjoberg/gtsummary,
    http://www.danieldsjoberg.com/gtsummary/
BugReports: https://github.com/ddsjoberg/gtsummary/issues
Depends: 
    R (>= 3.4)
Imports: 
    broom (>= 0.7.6),
    broom.helpers  (>= 1.3.0),
    cli (>= 2.3.0),
    dplyr (>= 1.0.3),
    forcats (>= 0.5.0),
    glue (>= 1.4.1),
    gt (>= 0.2.2),
    knitr (>= 1.29),
    lifecycle (>= 0.2.0),
    purrr (>= 0.3.4),
    rlang (>= 0.4.10),
    stringr (>= 1.4.0),
    survival,
    tibble (>= 3.0.3),
    tidyr (>= 1.1.1)
Suggests: 
    broom.mixed (>= 0.2.6),
    car,
    covr,
    effectsize,
    flextable (>= 0.5.10),
    geepack,
    GGally (>= 2.1.0), 
    Hmisc,
    huxtable (>= 5.0.0),
    kableExtra,
    lme4,
    mgcv,
    mice,
    nnet,
    officer,
    parameters,
    parsnip,
    pkgdown,
    rmarkdown,
    scales,
    spelling (>= 2.2),
    survey,
    testthat,
    workflows
VignetteBuilder: 
    knitr
RdMacros: 
    lifecycle
Encoding: UTF-8
Language: en-US
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Config/testthat/edition: 3
Config/testthat/parallel: true