Package index • Certara.DarwinReporter

Import, Explore, and Report Results of pyDarwin Search

Use these functions to pull in results of a pyDarwin search, explore plots and tables, and render them into a report.

darwin_data(): Initialize darwin data structure.

import_key_models(): Imports files from key model output folders

import_non_dominated_models(): Creates MOGA data set from non-dominated model output folders

darwinReportUI(): Generate and Report Model Diagnostics from NLME or NONMEM runs

Summarise Results of pyDarwin Search

These functions can be used to quickly view summaries of a darwin_data object.

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

summarise_overall_by_non_dominated_models(): Summarise overall table by non-dominated models

Plotting Functions

Plot the results of a darwin_data object.

fitness_penalties_vs_iteration(): Plot minimum fitness by iteration with penalty composition.

fitness_vs_iteration(): Plot best fitness by iteration.

objectives_vs_non_dominated_models(): Plot MOGA models vs objective values.

Get Summary Data From `xpose_data` object

get_eps_shk(): Get eps shrinkage values xpose_data object

get_eta_shk(): Get eta shrinkage values from xpose_data object

Helper Functions

theme_certara(): A ggplot2 theme for Certara.