Certara.DarwinReporter: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development

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.

Version: 2.0.1
Depends: R (≥ 4.1.0)
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
Suggests: knitr, rmarkdown, data.table, readr, testthat (≥ 3.0.0)
Published: 2025-03-07
DOI: 10.32614/CRAN.package.Certara.DarwinReporter
Author: James Craig [aut, cre], Michael Tomashevskiy [aut], Mike Talley [aut], Certara USA, Inc [cph, fnd]
Maintainer: James Craig <james.craig at certara.com>
License: LGPL-3
URL: https://certara.github.io/R-DarwinReporter/
NeedsCompilation: no
Materials: README
CRAN checks: Certara.DarwinReporter results

Documentation:

Reference manual: Certara.DarwinReporter.pdf

Downloads:

Package source: Certara.DarwinReporter_2.0.1.tar.gz
Windows binaries: r-devel: not available, r-release: Certara.DarwinReporter_2.0.1.zip, r-oldrel: not available
macOS binaries: r-devel (arm64): Certara.DarwinReporter_2.0.1.tgz, r-release (arm64): Certara.DarwinReporter_2.0.1.tgz, r-oldrel (arm64): not available, r-devel (x86_64): Certara.DarwinReporter_2.0.1.tgz, r-release (x86_64): Certara.DarwinReporter_2.0.1.tgz, r-oldrel (x86_64): Certara.DarwinReporter_2.0.1.tgz

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