Package: Certara.DarwinReporter
Title: Data Visualization Utilities for 'pyDarwin' Machine Learning
        Pharmacometric Model Development
Version: 2.0.1
Authors@R: c(
      person("James", "Craig", email = "james.craig@certara.com", role = c("aut", "cre")),
      person("Michael", "Tomashevskiy", email = "michael.tomashevskiy@certara.com", role = c("aut")),
      person("Mike", "Talley", email = "mike.talley@certara.com", role = c("aut")),
      person("Certara USA, Inc", role = c("cph","fnd"))
      )
Description: Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (<https://certara.github.io/pyDarwin/>)
    machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models,
    allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and
    tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an
    R Markdown document and rendered in various output formats.
URL: https://certara.github.io/R-DarwinReporter/
Depends: R (>= 4.1.0)
License: LGPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, data.table, readr, testthat (>= 3.0.0)
Imports: DT, colourpicker, shinyAce, shinymeta, utils, ggplot2, xpose,
        Certara.Xpose.NLME, dplyr, jsonlite, tidyr, flextable,
        shinyjqui, grDevices, plotly, scales, shiny (>= 1.7.0),
        shinyjs, shinyWidgets, bslib (>= 0.7.0), shinyTree (>= 0.3.1),
        sortable
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-03-06 16:41:17 UTC; jcraig
Author: James Craig [aut, cre],
  Michael Tomashevskiy [aut],
  Mike Talley [aut],
  Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig@certara.com>
Repository: CRAN
Date/Publication: 2025-03-07 16:40:13 UTC
Built: R 4.3.3; ; 2025-03-07 19:06:56 UTC; unix
