causalfrag
Cross-Framework Causal Fragility Index
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | causalfrag_0.1.1.tar.gz |
146.6 KiB |
0.1.1 |
rolling linux/noble R-4.5 | causalfrag_0.1.1.tar.gz |
146.6 KiB |
0.1.1 |
rolling source/ R- | causalfrag_0.1.1.tar.gz |
46.3 KiB |
0.1.1 |
latest linux/jammy R-4.5 | causalfrag_0.1.1.tar.gz |
146.6 KiB |
0.1.1 |
latest linux/noble R-4.5 | causalfrag_0.1.1.tar.gz |
146.6 KiB |
0.1.1 |
latest source/ R- | causalfrag_0.1.1.tar.gz |
46.3 KiB |
0.1.1 |
2026-04-23 source/ R- | causalfrag_0.1.1.tar.gz |
0 B |