Regression Sensitivity Analysis for Omitted Variable Bias

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Documentation for package ‘regsensitivity’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

as.data.frame.regsensitivity	Extract sensitivity results as a tidy data frame
autoplot.regsensitivity	Autoplot method
bfg2020	Bazzi, Fiszbein and Gebresilasse (2020) "Frontier Culture" replication data
bnd_eq	Hypothesis-direction helpers
bnd_lb	Hypothesis-direction helpers
bnd_ub	Hypothesis-direction helpers
calibrate_partial_r2	Pairwise partial R-squared of calibration covariates
calibrate_rho	Calibration parameters rho_k for rxbar
hypothesis_helpers	Hypothesis-direction helpers
plot.regsensitivity	Plot a regression sensitivity analysis
plot.regsensitivity_multi	Sensitivity analysis for several treatments at once
regsensitivity	Regression sensitivity analysis
regsen_boot	Bootstrap confidence interval for the breakdown point
regsen_bounds	Bounds on a regression coefficient under omitted-variable bias
regsen_breakdown	Breakdown frontier for a regression coefficient hypothesis
regsen_cores	Cores used by the package
regsen_explore	Explore a sensitivity analysis interactively
regsen_glance	Tidy a sensitivity analysis
regsen_multi	Sensitivity analysis for several treatments at once
regsen_summary	Sensitivity summary (DMP bounds + Oster breakdown)
regsen_table	Render a sensitivity analysis as a publication-ready table
regsen_tidy	Tidy a sensitivity analysis
scale_color_regsen	Colourblind-safe scales for sensitivity plots
scale_colour_regsen	Colourblind-safe scales for sensitivity plots
scale_fill_regsen	Colourblind-safe scales for sensitivity plots
theme_regsen	Publication-ready theme for sensitivity plots