Cross-Framework Causal Fragility Index R package causalfrag version 0.1.1 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. Software 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) Subir Hait <haitsubi@msu.edu> Comprehensive R Archive Network (CRAN) Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>) MIT + file LICENSE (https://CRAN.R-project.org/package=causalfrag/LICENSE) 2026-06-15 application/tgz https://CRAN.R-project.org/package=causalfrag doi:10.32614/CRAN.package.causalfrag