Package: tidyCDISC
Title: Quick Table Generation & Exploratory Analyses on ADaM-Ish
        Datasets
Version: 0.1.0
Authors@R: c(
    person("Aaron", "Clark", , "clark.aaronchris@gmail.com",
      role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0123-0970")),
    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(given = "Jeff", family = "Thompson", 
        email = "jeff.thompson51317@gmail.com", role = "ctb"),
    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://Biogen-Inc.github.io/tidyCDISC/
BugReports: https://github.com/Biogen-Inc/tidyCDISC/issues
Depends: R (>= 2.10)
Imports: cicerone, config, dplyr, DT, GGally, ggcorrplot, ggplot2,
        glue, golem, gt, haven, IDEAFilter, plotly, purrr, rlang,
        rmarkdown, shiny, shinyjs, shinyWidgets, sjlabelled, stringr,
        survival, tidyr, timevis, tippy (== 0.1.0)
Suggests: knitr, pkgdown, spelling, testthat
Encoding: UTF-8
Language: en-US
LazyData: true
RoxygenNote: 7.2.0
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-08-29 17:31:37 UTC; aclark5
Author: Aaron Clark [aut, cre] (<https://orcid.org/0000-0002-0123-0970>),
  Nate Mockler [ccp, led],
  Maya Gans [aut],
  Robert Krajcik [ctb],
  Marly Gotti [ctb],
  Jeff Thompson [ctb],
  Biogen Inc [cph]
Maintainer: Aaron Clark <clark.aaronchris@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-30 13:30:02 UTC
