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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 |
| 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 |
| Reference manual: | causalfrag.html , causalfrag.pdf |
| Vignettes: |
Getting started with causalfrag (source, R code) |
| Package source: | causalfrag_0.2.0.tar.gz |
| Windows binaries: | r-devel: causalfrag_0.1.1.zip, r-release: causalfrag_0.1.1.zip, r-oldrel: causalfrag_0.2.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): causalfrag_0.2.0.tgz, r-oldrel (x86_64): causalfrag_0.2.0.tgz |
| Old sources: | causalfrag archive |
Please use the canonical form https://CRAN.R-project.org/package=causalfrag to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.