Learn R Programming

DarwinReporter

Overview

The Certara.DarwinReporter package provides a Shiny application, in addition to various plotting and data summary functions for analyzing results of a pyDarwin automated model search.

Installation

install.packages("Certara.DarwinReporter", 
  repos = c("https://certara.jfrog.io/artifactory/certara-cran-release-public/", 
  "https://cloud.r-project.org"), method = "libcurl")

Usage

library(Certara.DarwinReporter)

ddb <- darwin_data(project_dir = "./darwin_search_01") |>
  import_key_models("./darwin_search_01/key_models")
  
darwinReportUI(ddb)

System Requirements

In order to render reports to pdf, the rmarkdown package requires a LaTeX distribution available on the system. You can easily install this in R using the command below:

install.packages('tinytex')
tinytex::install_tinytex()

Copy Link

Version

Install

install.packages('Certara.DarwinReporter')

Monthly Downloads

246

Version

2.0.1

License

LGPL-3

Maintainer

James Craig

Last Published

March 7th, 2025

Functions in Certara.DarwinReporter (2.0.1)

darwinReportUI

Generate and Report Model Diagnostics from NLME or NONMEM runs
fitness_vs_iteration

Plot best fitness by iteration.
summarise_fitness_by_iteration

Summarise fitness by iteration
theme_certara

A ggplot2 theme for Certara.
get_eta_shk

Get eta shrinkage values from xpose_data object
summarise_fitness_penalties_by_iteration

Summarize minimum fitness and penalty values by iteration
fitness_penalties_vs_iteration

Plot minimum fitness by iteration with penalty composition.
get_eps_shk

Get eps shrinkage values xpose_data object
summarise_overall_by_key_models

Summarise overall table by key models
darwin_data

Initialize darwin data structure.
import_key_models

Imports files from key model output folders