Certara.DarwinReporter
2.0.1Data Visualization Utilities for 'pyDarwin' Machine Learning Pharmacometric Model Development
Overview
Utilize the 'shiny' interface for visualizing results from a 'pyDarwin' (https://certara.github.io/pyDarwin/) machine learning pharmacometric model search. It generates Goodness-of-Fit plots and summary tables for selected models, allowing users to customize diagnostic outputs within the interface. The underlying R code for generating plots and tables can be extracted for use outside the interactive session. Model diagnostics can also be incorporated into an R Markdown document and rendered in various output formats.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
Repository github.com/certara/r-darwinreporter is linked, but repository-practices checks have not run for it yet.
Dependencies
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.0.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-03-07
- Total releases
- 1 / 1 yrs
- License
- LGPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 118 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet