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: Downloads: Reverse dependencies: Reverse imports: tipr Reverse suggests: ovbsa Linking:Please use the canonical form https://CRAN.R-project.org/package=sensemakr to link to this page.
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