Package index • regsensitivity

Main analyses

regsensitivity(): Regression sensitivity analysis
regsen_bounds(): Bounds on a regression coefficient under omitted-variable bias
regsen_breakdown(): Breakdown frontier for a regression coefficient hypothesis
regsen_summary(): Sensitivity summary (DMP bounds + Oster breakdown)

Inference

regsen_boot(): Bootstrap confidence interval for the breakdown point

Several treatments

regsen_multi() plot(<regsensitivity_multi>): Sensitivity analysis for several treatments at once

Interactive

regsen_explore(): Explore a sensitivity analysis interactively

Calibration

calibrate_rho(): Calibration parameters rho_k for rxbar
calibrate_partial_r2(): Pairwise partial R-squared of calibration covariates

Helpers

bnd_lb() bnd_ub() bnd_eq(): Hypothesis-direction helpers

Visualization

plot(<regsensitivity>): Plot a regression sensitivity analysis
autoplot(<regsensitivity>): Autoplot method
theme_regsen(): Publication-ready theme for sensitivity plots
scale_colour_regsen() scale_color_regsen() scale_fill_regsen(): Colourblind-safe scales for sensitivity plots

Tables and export

regsen_table(): Render a sensitivity analysis as a publication-ready table
as.data.frame(<regsensitivity>): Extract sensitivity results as a tidy data frame
regsen_tidy() regsen_glance(): Tidy a sensitivity analysis

Data

bfg2020: Bazzi, Fiszbein and Gebresilasse (2020) "Frontier Culture" replication data

Package

regsensitivity-package: regsensitivity: regression sensitivity analysis