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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Certara.DarwinReporter to link to this page.
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