darwinReportUI: Generate and Report Model Diagnostics from NLME or NONMEM...

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

Generate and Report Model Diagnostics from NLME or NONMEM runs

Description

Shiny application to generate, customize, and report diagnostic plots and tables from NLME or NONMEM output files. Create an Rmarkdown file of tagged model diagnostics and render into submission ready report.

Usage

darwinReportUI(darwin_data, tagged = NULL, settings = NULL, ...)

Arguments

darwin_data	Object of class darwin_data. Note, key_models xpose_data must be available.
tagged	List of tagged objects returned from previous tagged <- darwinReportUI() session.
settings	List of settings (e.g., settings.Rds) returned from previous Shiny session.
...	Additional arguments for Pirana integration.

Value

If interactive(), returns a list of tagged diagnostics from the Shiny application, otherwise returns TRUE.

Examples

if (interactive()) {
ddb <- darwin_data("./darwin_search_09") |>
   import_key_models("./darwin_search_09/key_models")

darwinReportUI(ddb)
}

Certara.DarwinReporter documentation built on April 4, 2025, 2:22 a.m.