sensemakr: Sensitivity Analysis Tools for Regression Models (original) (raw)
Implements a suite of sensitivity analysis tools that extends the traditional omitted variable bias framework and makes it easier to understand the impact of omitted variables in regression models, as discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of Sensitivity: Extending Omitted Variable Bias." Journal of the Royal Statistical Society, Series B (Statistical Methodology) <doi:10.1111/rssb.12348>.
| Version: | 0.1.6 |
|---|---|
| Depends: | R (≥ 3.1.0) |
| Suggests: | testthat, covr, knitr, rmarkdown, png, stargazer, fixest |
| Published: | 2024-07-22 |
| DOI: | 10.32614/CRAN.package.sensemakr |
| Author: | Carlos Cinelli [aut, cre], Jeremy Ferwerda [aut], Chad Hazlett [aut], Danielle Tsao [ctb], Aaron Rudkin [ctb], Grigorij Ljubownikow [ctb] |
| Maintainer: | Carlos Cinelli |
| BugReports: | https://github.com/carloscinelli/sensemakr/issues |
| License: | GPL-3 |
| URL: | https://github.com/carloscinelli/sensemakr |
| NeedsCompilation: | no |
| In views: | CausalInference |
| CRAN checks: | sensemakr results |
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