Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development R package Certara.DarwinReporter version 2.0.1 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. Software 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) James Craig <james.craig@certara.com> Comprehensive R Archive Network (CRAN) James Craig [aut, cre], Michael Tomashevskiy [aut], Mike Talley [aut], Certara USA, Inc [cph, fnd] LGPL-3 2025-03-07 application/tgz https://CRAN.R-project.org/package=Certara.DarwinReporter doi:10.32614/CRAN.package.Certara.DarwinReporter