confoundvis: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding

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.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	ggplot2 (≥ 3.4.0), rlang, graphics, stats
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, gridExtra
Published:	2026-03-30
DOI:	10.32614/CRAN.package.confoundvis
Author:	Subir Hait [aut, cre]
Maintainer:	Subir Hait <haitsubi at msu.edu>
BugReports:	https://github.com/causalfragility-lab/confoundvis/issues
License:	GPL-3
URL:	https://github.com/causalfragility-lab/confoundvis
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	confoundvis results

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