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.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli (≥ 3.4.0), rlang (≥ 1.0.0), jsonlite (≥ 1.8.0), glue (≥ 1.6.0) |
| Suggests: |
httr2 (≥ 1.0.0), confoundvis (≥ 0.1.0), sensemakr (≥
0.1.4), EValue (≥ 4.1.3), konfound (≥ 0.4.0), rbounds (≥
2.1), rmarkdown (≥ 2.14), knitr (≥ 1.39), testthat (≥
3.0.0), withr (≥ 2.5.0) |
| Published: |
2026-06-15 |
| DOI: |
10.32614/CRAN.package.causalfrag (may not be active yet) |
| Author: |
Subir Hait  [aut,
cre] |
| Maintainer: |
Subir Hait <haitsubi at msu.edu> |
| BugReports: |
https://github.com/causalfragility-lab/causalfrag/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/causalfragility-lab/causalfrag |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
causalfrag results |
Documentation:
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