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confoundvis  

Visualization Tools for Sensitivity Analysis of Unmeasured Confounding
View on CRAN: Click here


Download and install confoundvis package within the R console
Install from CRAN:
install.packages("confoundvis")

Install from Github:
library("remotes")
install_github("cran/confoundvis")

Install by package version:
library("remotes")
install_version("confoundvis", "0.1.0")



Attach the package and use:
library("confoundvis")
Maintained by
Subir Hait
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-30
Latest Update: 2026-03-30
Description:
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.
How to cite:
Subir Hait (2026). confoundvis: Visualization Tools for Sensitivity Analysis of Unmeasured Confounding. R package version 0.1.0, https://cran.r-project.org/web/packages/confoundvis. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-09-30 23:21), 0.1.0 (2026-03-30 11:30)
Other packages that cited confoundvis R package
View confoundvis citation profile
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Complete documentation for confoundvis
Functions, R codes and Examples using the confoundvis R package
Full confoundvis package functions and examples
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