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:	0.1.6
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 <carloscinelli at hotmail.com>
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

Documentation:

Reference manual:	sensemakr.html , sensemakr.pdf
Vignettes:	The Risks of Informal Benchmarking (source, R code) sensemakr (source, R code)

Downloads:

Package source:	sensemakr_0.1.6.tar.gz
Windows binaries:	r-devel: sensemakr_0.1.6.zip, r-release: sensemakr_0.1.6.zip, r-oldrel: sensemakr_0.1.6.zip
macOS binaries:	r-release (arm64): sensemakr_0.1.6.tgz, r-oldrel (arm64): sensemakr_0.1.6.tgz, r-release (x86_64): sensemakr_0.1.6.tgz, r-oldrel (x86_64): sensemakr_0.1.6.tgz
Old sources:	sensemakr archive

Reverse dependencies:

Reverse imports:	iv.sensemakr, lpmec, tipr
Reverse suggests:	bivarhr, ovbsa

Linking:

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