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) .


Reference manual

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install.packages("sensemakr")

0.1.6 by Carlos Cinelli, 2 years ago


https://github.com/carloscinelli/sensemakr


Report a bug at https://github.com/carloscinelli/sensemakr/issues


Browse source code at https://github.com/cran/sensemakr


Authors: Carlos Cinelli [aut, cre] , Jeremy Ferwerda [aut] , Chad Hazlett [aut] , Danielle Tsao [ctb] , Aaron Rudkin [ctb] , Grigorij Ljubownikow [ctb]


Documentation:   PDF Manual  


GPL-3 license


Suggests testthat, covr, knitr, rmarkdown, png, stargazer, fixest


Imported by iv.sensemakr, lpmec, tipr.

Suggested by bivarhr, causalfrag, confoundvis, ovbsa.


See at CRAN