# 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'