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causalfrag  

Cross-Framework Causal Fragility Index
View on CRAN: Click here


Download and install causalfrag package within the R console
Install from CRAN:
install.packages("causalfrag")

Install from Github:
library("remotes")
install_github("cran/causalfrag")

Install by package version:
library("remotes")
install_version("causalfrag", "0.1.1")



Attach the package and use:
library("causalfrag")
Maintained by
Subir Hait
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-15
Latest Update: 2026-06-15
Description:
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.
How to cite:
Subir Hait (2026). causalfrag: Cross-Framework Causal Fragility Index. R package version 0.1.1, https://cran.r-project.org/web/packages/causalfrag. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-10-01 23:40), 0.1.1 (2026-06-15 13:50)
Other packages that cited causalfrag R package
View causalfrag citation profile
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Complete documentation for causalfrag
Functions, R codes and Examples using the causalfrag R package
Full causalfrag package functions and examples
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