# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "causalfrag" in publications use:' type: software license: MIT title: 'causalfrag: Cross-Framework Causal Fragility Index' version: 0.1.1 doi: 10.32614/CRAN.package.causalfrag abstract: 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, ), E-value metrics (VanderWeele and Ding, 2017, ), and the Impact Threshold for a Confounding Variable (Frank, 2000, ) 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. authors: - family-names: Hait given-names: Subir email: haitsubi@msu.edu orcid: https://orcid.org/0009-0004-9871-9677 repository: https://causalfragility-lab.r-universe.dev repository-code: https://github.com/causalfragility-lab/causalfrag commit: 9e9393f04d804510e61f0cfafc695d77bbbba833 url: https://github.com/causalfragility-lab/causalfrag date-released: '2026-05-30' contact: - family-names: Hait given-names: Subir email: haitsubi@msu.edu orcid: https://orcid.org/0009-0004-9871-9677