Package: tidyCDISC
Title: Quick Table Generation & Exploratory Analyses on ADaM-Ish
        Datasets
Version: 0.2.2
Authors@R: c(
    person("Aaron", "Clark", , "clark.aaronchris@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0123-0970")),
    person("Jeff", "Thompson", , "jeff.thompson51317@gmail.com", role = "aut"),
    person("Teresa", "Wilson", , "teresadwilson@gmail.com", role = "aut"),
    person("Nate", "Mockler", , "nate.mockler@biogen.com", role = c("ccp", "led")),
    person("Maya", "Gans", , "maya.gans@biogen.com", role = "aut"),
    person("Robert", "Krajcik", , "robert.krajcik@biogen.com", role = "ctb"),
    person("Marly", "Gotti", , "marly.cormar@biogen.com", role = "ctb"),
    person("Ryan", "Harrison", , "harrison.ryan.w@gmail.com", role = "aut", 
           comment = c(ORCID = "0000-0003-4575-006X")),
    person("Biogen", "Inc", role = "cph")
  )
Description: Provides users a quick exploratory dive into common
        visualizations without writing a single line of code given the
        users data follows the Analysis Data Model (ADaM) standards put
        forth by the Clinical Data Interchange Standards Consortium
        (CDISC) <https://www.cdisc.org>. Prominent modules/ features of
        the application are the Table Generator, Population Explorer,
        and the Individual Explorer. The Table Generator allows users
        to drag and drop variables and desired statistics (frequencies,
        means, ANOVA, t-test, and other summary statistics) into bins
        that automagically create stunning tables with validated
        information. The Population Explorer offers various plots to
        visualize general trends in the population from various vantage
        points. Plot modules currently include scatter plot, spaghetti
        plot, box plot, histogram, means plot, and bar plot. Each plot
        type allows the user to plot uploaded variables against one
        another, and dissect the population by filtering out certain
        subjects. Last, the Individual Explorer establishes a cohesive
        patient narrative, allowing the user to interact with patient
        metrics (params) by visit or plotting important patient events
        on a timeline. All modules allow for concise filtering &
        downloading bulk outputs into html or pdf formats to save for
        later.
License: AGPL (>= 3)
URL: https://github.com/Biogen-Inc/tidyCDISC/,
        https://Biogen-Inc.github.io/tidyCDISC/
BugReports: https://github.com/Biogen-Inc/tidyCDISC/issues
Depends: R (>= 4.1)
Imports: arrow, broom.helpers, cicerone, cli, config, dplyr, DT, fs,
        GGally, ggcorrplot, ggplot2, ggsurvfit, glue, golem, gt,
        gtsummary, haven, IDEAFilter, pkgload, plotly, purrr, readxl,
        rlang, rmarkdown, shiny, shinyjs, shinyWidgets, sjlabelled,
        stringdist, stringr, survival, tibble, tidyr, tidyselect,
        timevis, tippy (== 0.1.0), vroom
Suggests: devtools, knitr, shinyalert, spelling, testthat
VignetteBuilder: knitr
Config/Needs/website: pkgdown
Config/Needs/coverage: covr
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.3.3
Repository: https://pharmaverse.r-universe.dev
Date/Publication: 2026-02-05 16:33:34 UTC
RemoteUrl: https://github.com/Biogen-Inc/tidyCDISC
RemoteRef: HEAD
RemoteSha: cd4cf3bf02a7e66c8025ecde25a0db500e6eb141
NeedsCompilation: no
Packaged: 2026-06-15 11:56:33 UTC; root
Author: Aaron Clark [aut, cre] (ORCID: <https://orcid.org/0000-0002-0123-0970>),
  Jeff Thompson [aut],
  Teresa Wilson [aut],
  Nate Mockler [ccp, led],
  Maya Gans [aut],
  Robert Krajcik [ctb],
  Marly Gotti [ctb],
  Ryan Harrison [aut] (ORCID: <https://orcid.org/0000-0003-4575-006X>),
  Biogen Inc [cph]
Maintainer: Aaron Clark <clark.aaronchris@gmail.com>