causalfrag
0.1.1Cross-Framework Causal Fragility Index
Overview
Provides a unified workflow for running, classifying, visualizing, and interpreting sensitivity analyses for unmeasured confounding across multiple causal frameworks. Introduces the Causal Fragility Index (CFI), a single 0-100 composite score that integrates evidence from the partial R-squared robustness value approach (Cinelli and Hazlett, 2020, doi:10.1111/rssb.12348), E-value metrics (VanderWeele and Ding, 2017, doi:10.7326/M16-2607), and the Impact Threshold for a Confounding Variable (Frank, 2000, doi:10.1177/0049124100029002001) into one interpretable measure of robustness. The package also provides template-based plain-language narrative interpretation and publication-ready reporting, with optional integration with the 'confoundvis' package for sensitivity plots.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-166 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 14%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 5%
Downloads
Repository
Repository practices
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/causalfragility-lab/causalfrag on 2026-07-31.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.1Latest2026-06-15 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-15
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet