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  "Title": "Cross-Framework Causal Fragility Index",
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  "Date": "2026-05-30",
  "Authors@R": "person(\"Subir\", \"Hait\",\nemail = \"haitsubi@msu.edu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0004-9871-9677\"))",
  "Description": "Provides a unified workflow for running, classifying,\nvisualizing, and interpreting sensitivity analyses for\nunmeasured confounding across multiple causal frameworks.\nIntroduces the Causal Fragility Index (CFI), a single 0-100\ncomposite score that integrates evidence from the partial\nR-squared robustness value approach (Cinelli and Hazlett, 2020,\n<doi:10.1111/rssb.12348>), E-value metrics (VanderWeele and\nDing, 2017, <doi:10.7326/M16-2607>), and the Impact Threshold\nfor a Confounding Variable (Frank, 2000,\n<doi:10.1177/0049124100029002001>) into one interpretable\nmeasure of robustness. The package also provides template-based\nplain-language narrative interpretation and publication-ready\nreporting, with optional integration with the 'confoundvis'\npackage for sensitivity plots.",
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        "causalfrag"
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