# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "confoundvis" in publications use:' type: software license: GPL-3.0-only title: 'confoundvis: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding' version: 0.1.0 doi: 10.32614/CRAN.package.confoundvis abstract: Provides visualization tools for sensitivity analysis to unmeasured confounding in observational studies. Includes contour-based sensitivity plots, robustness curves, and benchmark-oriented graphics that help researchers assess how strong omitted confounding would need to be to attenuate, invalidate, or reverse estimated effects. Supports regression-based sensitivity analysis frameworks, including impact threshold approaches (Frank, 2000, ), partial R-squared methods (Cinelli and Hazlett, 2020, ), and E-value style metrics (VanderWeele and Ding, 2017, ). Emphasizes clear, interpretable, and publication-ready graphical summaries for transparent reporting of causal sensitivity analyses across the social, behavioral, health, and educational sciences. 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/confoundvis commit: bd9347316b24d0b801d229474918f7a2e471758f url: https://github.com/causalfragility-lab/confoundvis date-released: '2026-03-30' contact: - family-names: Hait given-names: Subir email: haitsubi@msu.edu orcid: https://orcid.org/0009-0004-9871-9677