Sensitivity Analysis Tools for Regression Models

---

Documentation for package ‘sensemakr’ version 0.1.4

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

Help Pages

sensemakr-package	Sensemakr: extending omitted variable bias
add_bound_to_contour	Add bounds to contour plot of omitted variable bias
add_bound_to_contour.lm	Add bounds to contour plot of omitted variable bias
add_bound_to_contour.numeric	Add bounds to contour plot of omitted variable bias
adjusted_estimate	Bias-adjusted estimates, standard-errors and t-values
adjusted_estimate.lm	Bias-adjusted estimates, standard-errors and t-values
adjusted_estimate.numeric	Bias-adjusted estimates, standard-errors and t-values
adjusted_partial_r2	Bias-adjusted estimates, standard-errors and t-values
adjusted_partial_r2.lm	Bias-adjusted estimates, standard-errors and t-values
adjusted_partial_r2.numeric	Bias-adjusted estimates, standard-errors and t-values
adjusted_se	Bias-adjusted estimates, standard-errors and t-values
adjusted_se.lm	Bias-adjusted estimates, standard-errors and t-values
adjusted_se.numeric	Bias-adjusted estimates, standard-errors and t-values
adjusted_t	Bias-adjusted estimates, standard-errors and t-values
adjusted_t.lm	Bias-adjusted estimates, standard-errors and t-values
adjusted_t.numeric	Bias-adjusted estimates, standard-errors and t-values
bias	Bias-adjusted estimates, standard-errors and t-values
bias.lm	Bias-adjusted estimates, standard-errors and t-values
bias.numeric	Bias-adjusted estimates, standard-errors and t-values
colombia	Data from the 2016 referendum for peace with the FARC in Colombia.
darfur	Data from survey of Darfurian refugees in eastern Chad.
group_partial_r2	Partial R2 of groups of covariates in a linear regression model
group_partial_r2.lm	Partial R2 of groups of covariates in a linear regression model
group_partial_r2.numeric	Partial R2 of groups of covariates in a linear regression model
model_helper	Helper function for extracting model statistics
ovb_bounds	Bounds on the strength of unobserved confounders using observed covariates
ovb_bounds.lm	Bounds on the strength of unobserved confounders using observed covariates
ovb_contour_plot	Contour plots of omitted variable bias
ovb_contour_plot.formula	Contour plots of omitted variable bias
ovb_contour_plot.lm	Contour plots of omitted variable bias
ovb_contour_plot.numeric	Contour plots of omitted variable bias
ovb_extreme_plot	Extreme scenarios plots of omitted variable bias
ovb_extreme_plot.formula	Extreme scenarios plots of omitted variable bias
ovb_extreme_plot.lm	Extreme scenarios plots of omitted variable bias
ovb_extreme_plot.numeric	Extreme scenarios plots of omitted variable bias
ovb_minimal_reporting	Sensitivity analysis print and summary methods for 'sensemakr'
ovb_partial_r2_bound	Bounds on the strength of unobserved confounders using observed covariates
ovb_partial_r2_bound.lm	Bounds on the strength of unobserved confounders using observed covariates
ovb_partial_r2_bound.numeric	Bounds on the strength of unobserved confounders using observed covariates
partial_f	Computes the partial R2 and partial (Cohen's) f2
partial_f2	Computes the partial R2 and partial (Cohen's) f2
partial_f2.lm	Computes the partial R2 and partial (Cohen's) f2
partial_f2.numeric	Computes the partial R2 and partial (Cohen's) f2
partial_r2	Computes the partial R2 and partial (Cohen's) f2
partial_r2.lm	Computes the partial R2 and partial (Cohen's) f2
partial_r2.numeric	Computes the partial R2 and partial (Cohen's) f2
plot.sensemakr	Sensitivity analysis plots for 'sensemakr'
print.sensemakr	Sensitivity analysis print and summary methods for 'sensemakr'
relative_bias	Bias-adjusted estimates, standard-errors and t-values
relative_bias.lm	Bias-adjusted estimates, standard-errors and t-values
relative_bias.numeric	Bias-adjusted estimates, standard-errors and t-values
rel_bias	Bias-adjusted estimates, standard-errors and t-values
resid_maker	Creates orthogonal residuals
robustness_value	Computes the robustness value
robustness_value.lm	Computes the robustness value
robustness_value.numeric	Computes the robustness value
sensemakr	Sensitivity analysis to unobserved confounders
sensemakr.formula	Sensitivity analysis to unobserved confounders
sensemakr.lm	Sensitivity analysis to unobserved confounders
sensemakr.numeric	Sensitivity analysis to unobserved confounders
sensitivity_stats	Sensitivity statistics for regression coefficients
sensitivity_stats.lm	Sensitivity statistics for regression coefficients
sensitivity_stats.numeric	Sensitivity statistics for regression coefficients
summary.sensemakr	Sensitivity analysis print and summary methods for 'sensemakr'