Visualization Tools for Sensitivity Analysis of Unmeasured Confounding R package confoundvis version 0.1.0 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, <doi:10.1177/0049124100029002001>), partial R-squared methods (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), and E-value style metrics (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>). Emphasizes clear, interpretable, and publication-ready graphical summaries for transparent reporting of causal sensitivity analyses across the social, behavioral, health, and educational sciences. Software Depends: R (>= 4.1.0) Imports: ggplot2 (>= 3.4.0), rlang, graphics, stats Suggests: testthat (>= 3.0.0), knitr, rmarkdown, gridExtra Subir Hait <haitsubi@msu.edu> Comprehensive R Archive Network (CRAN) Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>) GPL-3 2026-03-30 application/tgz https://CRAN.R-project.org/package=confoundvis doi:10.32614/CRAN.package.confoundvis en-US