sensemakr: Sensitivity Analysis Tools for Regression Models

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: 0.1.4
Depends: R (≥ 3.1.0)
Suggests: testthat, covr, knitr, rmarkdown, png, stargazer
Published: 2021-10-08
DOI: 10.32614/CRAN.package.sensemakr
Author: Carlos Cinelli [aut, cre], Jeremy Ferwerda [aut], Chad Hazlett [aut], Aaron Rudkin [ctb]
Maintainer: Carlos Cinelli <carloscinelli at>
License: GPL-3
NeedsCompilation: no
In views: CausalInference
CRAN checks: sensemakr results


Reference manual: sensemakr.pdf
Vignettes: The Risks of Informal Benchmarking


Package source: sensemakr_0.1.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sensemakr_0.1.4.tgz, r-oldrel (arm64): sensemakr_0.1.4.tgz, r-release (x86_64): sensemakr_0.1.4.tgz, r-oldrel (x86_64): sensemakr_0.1.4.tgz
Old sources: sensemakr archive

Reverse dependencies:

Reverse imports: tipr


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