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: 0.1.3
Depends: R (≥ 3.1.0)
Suggests: testthat, covr, knitr, rmarkdown, png, stargazer
Published: 2020-04-28
Author: Carlos Cinelli [aut, cre], Jeremy Ferwerda [aut], Chad Hazlett [aut], Aaron Rudkin [ctb]
Maintainer: Carlos Cinelli <carloscinelli at hotmail.com>
BugReports: https://github.com/chadhazlett/sensemakr/issues
License: GPL-3
URL: https://github.com/chadhazlett/sensemakr
NeedsCompilation: no
CRAN checks: sensemakr results

Downloads:

Reference manual: sensemakr.pdf
Vignettes: informal_benchmarking
sensemakr
Package source: sensemakr_0.1.3.tar.gz
Windows binaries: r-devel: sensemakr_0.1.3.zip, r-release: sensemakr_0.1.3.zip, r-oldrel: sensemakr_0.1.3.zip
macOS binaries: r-release (arm64): sensemakr_0.1.3.tgz, r-release (x86_64): sensemakr_0.1.3.tgz, r-oldrel: sensemakr_0.1.3.tgz
Old sources: sensemakr archive

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