R: Sensitivity Analysis Tools for Regression Models

# Sensitivity Analysis Tools for Regression Models

## Documentation for package ‘sensemakr’ version 0.1.6

- 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.fixest | 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_ci | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_ci.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_ci.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_ci.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_critical_value | Bias-adjusted critical values
adjusted_estimate | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_estimate.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_estimate.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_estimate.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_partial_r2 | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_partial_r2.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_partial_r2.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_partial_r2.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_se | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_se.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_se.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_se.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_t | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_t.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_t.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
adjusted_t.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
bias | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
bias.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
bias.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
bias.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
colombia | Data from the 2016 referendum for peace with the FARC in Colombia.
darfur | Data from survey of Darfurian refugees in eastern Chad.
extreme_robustness_value | Computes the (extreme) robustness value
extreme_robustness_value.default | Computes the (extreme) robustness value
extreme_robustness_value.fixest | Computes the (extreme) robustness value
extreme_robustness_value.lm | Computes the (extreme) robustness value
extreme_robustness_value.numeric | Computes the (extreme) robustness value
group_partial_r2 | Partial R2 of groups of covariates in a linear regression model
group_partial_r2.fixest | 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
ovb_bounds | Bounds on the strength of unobserved confounders using observed covariates
ovb_bounds.fixest | 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.fixest | 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.fixest | 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.fixest | 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_f.fixest | Computes the partial R2 and partial (Cohen's) f2
partial_f.lm | Computes the partial R2 and partial (Cohen's) f2
partial_f.numeric | Computes the partial R2 and partial (Cohen's) f2
partial_f2 | Computes the partial R2 and partial (Cohen's) f2
partial_f2.fixest | 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.default | Computes the partial R2 and partial (Cohen's) f2
partial_r2.fixest | 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, t-values and confidence intervals
relative_bias.fixest | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
relative_bias.lm | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
relative_bias.numeric | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
rel_bias | Bias-adjusted estimates, standard-errors, t-values and confidence intervals
robustness_value | Computes the (extreme) robustness value
robustness_value.default | Computes the (extreme) robustness value
robustness_value.fixest | Computes the (extreme) robustness value
robustness_value.lm | Computes the (extreme) robustness value
robustness_value.numeric | Computes the (extreme) robustness value
rv | Computes the (extreme) robustness value
sensemakr | Sensitivity analysis to unobserved confounders
sensemakr.fixest | 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.fixest | 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'
xrv | Computes the (extreme) robustness value