causalfrag: Cross-Framework Sensitivity Analysis with an OLS Crosswalk
Runs, classifies, interprets and reports sensitivity analyses
for unmeasured confounding across the partial R-squared robustness value
approach (Cinelli and Hazlett, 2020, <doi:10.1111/rssb.12348>), E-values
(VanderWeele and Ding, 2017, <doi:10.7326/M16-2607>), and the impact
threshold for a confounding variable and robustness of inference to
replacement (Frank, 2000, <doi:10.1177/0049124100029002001>; Frank,
Maroulis, Duong and Kelcey, 2013, <doi:10.3102/0162373713493129>). An
ordinary least squares crosswalk reports the robustness values, impact
threshold and replacement percentage computed from the focal t statistic
and residual degrees of freedom, makes explicit that their agreement is
largely fixed by that shared input, and flags the boundary band in which
they disagree. Template-based plain-language reports are included, with
optional integration with the 'confoundvis' package for plots.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
cli (≥ 3.4.0), rlang (≥ 1.0.0), jsonlite (≥ 1.8.0), glue (≥ 1.6.0) |
| Suggests: |
httr2 (≥ 1.0.0), confoundvis (≥ 0.1.0), sensemakr (≥
0.1.4), EValue (≥ 4.1.3), konfound (≥ 0.4.0), rbounds (≥
2.1), rmarkdown (≥ 2.14), knitr (≥ 1.39), testthat (≥
3.0.0), withr (≥ 2.5.0) |
| Published: |
2026-10-01 |
| DOI: |
10.32614/CRAN.package.causalfrag |
| Author: |
Subir Hait  [aut,
cre] |
| Maintainer: |
Subir Hait <haitsubi at msu.edu> |
| BugReports: |
https://github.com/subirhait/causalfrag/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/subirhait/causalfrag |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
causalfrag results |
Documentation:
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