R: Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development

# Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development

## Documentation for package ‘Certara.DarwinReporter’ version 2.0.1

- DESCRIPTION file.

## 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.