confoundvis: Visualization Tools for Sensitivity Analysis of Unmeasured
Confounding
Visualization and reporting tools for sensitivity analysis to
unmeasured confounding in observational studies. A common
'confoundsens' object stores a sensitivity path (the treatment effect
as a function of hypothetical confounder strength) regardless of the
framework that produced it, so the same robustness curves, contour
plots, covariate benchmark ("sensitivity Love") plots, and plain-language
reports can be drawn for impact threshold analysis (Frank, 2000,
<doi:10.1177/0049124100029002001>), partial R-squared omitted-variable
bias analysis (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>),
and E-values (VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>).
Paths can be computed directly from fitted linear models or converted
from results produced by the 'sensemakr', 'konfound', and 'EValue'
packages.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
ggplot2 (≥ 3.4.0), rlang, graphics, grid, stats |
| Suggests: |
testthat (≥ 3.0.0), knitr, rmarkdown, gridExtra, sensemakr, konfound, EValue |
| Published: |
2026-09-30 |
| DOI: |
10.32614/CRAN.package.confoundvis |
| Author: |
Subir Hait  [aut,
cre] |
| Maintainer: |
Subir Hait <haitsubi at msu.edu> |
| BugReports: |
https://github.com/subirhait/confoundvis/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/subirhait/confoundvis |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
confoundvis results |
Documentation:
Downloads:
Reverse dependencies:
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