The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.pdf
Vignettes: The Risks of Informal Benchmarking
sensemakr

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: tipr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sensemakr 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.
Health stats visible at Monitor.