Generate Diagnostics for Pharmacometric Models Using 'shiny' R package Certara.ModelResults version 3.0.1 Utilize the 'shiny' interface to generate Goodness of Fit (GOF) plots and tables for Non-Linear Mixed Effects (NLME / NONMEM) pharmacometric models. From the interface, users can customize model diagnostics and generate the underlying R code to reproduce the diagnostic plots and tables outside of the 'shiny' session. Model diagnostics can be included in a 'rmarkdown' document and rendered to desired output format. Software Depends: R (>= 4.0) Imports: colourpicker, shinyAce, shinymeta, Certara.Xpose.NLME, xpose, dplyr, flextable, shinyjqui, grDevices, ggplot2, plotly, magrittr, scales, shiny (>= 1.7.0), shinyjs, shinyWidgets, shinyTree (>= 0.3.1), sortable, tidyr, rlang, bslib (>= 0.7.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0), Certara.RsNLME James Craig <james.craig@certara.com> Comprehensive R Archive Network (CRAN) James Craig [aut, cre], Shuhua Hu [ctb], Mike Talley [aut], Certara USA, Inc [cph, fnd] LGPL-3 2025-03-03 application/tgz https://CRAN.R-project.org/package=Certara.ModelResults doi:10.32614/CRAN.package.Certara.ModelResults