Data Visualization Utilities for 'pyDarwin' Machine Learning
Pharmacometric Model Development
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘Certara.DarwinReporter’ version 2.0.1
Help Pages
| darwinReportUI | Generate and Report Model Diagnostics from NLME or NONMEM runs |
| darwin_data | Initialize darwin data structure. |
| fitness_penalties_vs_iteration | Plot minimum fitness by iteration with penalty composition. |
| fitness_vs_iteration | Plot best fitness by iteration. |
| get_eps_shk | Get eps shrinkage values 'xpose_data' object |
| get_eta_shk | Get eta shrinkage values from 'xpose_data' object |
| import_key_models | Imports files from key model output folders |
| summarise_fitness_by_iteration | Summarise fitness by iteration |
| summarise_fitness_penalties_by_iteration | Summarize minimum fitness and penalty values by iteration |
| summarise_overall_by_key_models | Summarise overall table by key models |
| theme_certara | A ggplot2 theme for Certara. |