confoundvis
0.1.0Visualization Tools for Sensitivity Analysis of Unmeasured Confounding
Overview
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.
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- OK2026-03-317 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Checks run against github.com/causalfragility-lab/confoundvis on 2026-07-19.
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People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-30 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-30
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
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