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regsensitivity: Regression Sensitivity Analysis for Omitted Variable Bias

Sensitivity analysis for linear regression coefficients in the presence of omitted variables. Implements the identified-set and breakdown-point analyses of Diegert, Masten and Poirier (2026) <doi:10.48550/arXiv.2206.02303>, Oster (2019) <doi:10.1080/07350015.2016.1227711> and Masten and Poirier (2026) <doi:10.1257/aer.20230242>. Provides bounds on regression coefficients under relaxations of the no-omitted-variables assumption indexed by interpretable sensitivity parameters, the breakdown point of a hypothesis about the long-regression coefficient, and plotting helpers.

Version: 0.2.0
Depends: R (≥ 4.1)
Imports: stats, grid, parallel, nloptr (≥ 2.0.0), ggplot2 (≥ 3.5.0), rlang (≥ 1.0.0)
Suggests: generics, shiny, haven (≥ 2.5.0), AER, sensemakr, testthat (≥ 3.0.0), knitr (≥ 1.40), rmarkdown (≥ 2.20), pdftools, covr, pkgdown
Published: 2026-10-20
DOI: 10.32614/CRAN.package.regsensitivity
Author: Mike Nguyen ORCID iD [aut, cre, cph]
Maintainer: Mike Nguyen <nguyennghia1301 at gmail.com>
BugReports: https://github.com/mikenguyen13/regsensitivity/issues
License: MIT + file LICENSE
URL: https://github.com/mikenguyen13/regsensitivity, https://mikenguyen13.github.io/regsensitivity/
NeedsCompilation: no
Language: en-US
Citation: regsensitivity citation info
Materials: README, NEWS
CRAN checks: regsensitivity results

Documentation:

Reference manual: regsensitivity.html , regsensitivity.pdf
Vignettes: Replication: Diegert, Masten and Poirier (2026) (source, R code)
Reading the output: interpretation, edge cases and decisions (source, R code)
Stylized examples from Masten and Poirier (2026) (source, R code)
Publication-ready plots and tables (source, R code)
regsensitivity: a tour (source, R code)
Coming from the Stata package (source, R code)

Downloads:

Package source: regsensitivity_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: regsensitivity_0.2.0.zip, r-oldrel: regsensitivity_0.2.0.zip
macOS binaries: r-release (arm64): regsensitivity_0.2.0.tgz, r-oldrel (arm64): regsensitivity_0.2.0.tgz, r-release (x86_64): regsensitivity_0.2.0.tgz, r-oldrel (x86_64): regsensitivity_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=regsensitivity 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.