Package index • sensemakr

All functions
`add_bound_to_contour()`	Add bounds to contour plot of omitted variable bias
`adjusted_critical_value()`	Bias-adjusted critical values
`adjusted_estimate()` `adjusted_se()` `adjusted_ci()` `adjusted_t()` `adjusted_partial_r2()` `bias()` `relative_bias()` `rel_bias()`	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.
`group_partial_r2()`	Partial R2 of groups of covariates in a linear regression model
`ovb_bounds()` `ovb_partial_r2_bound()`	Bounds on the strength of unobserved confounders using observed covariates
`ovb_contour_plot()`	Contour plots of omitted variable bias
`ovb_extreme_plot()`	Extreme scenarios plots of omitted variable bias
`partial_r2()` `partial_f2()` `partial_f()`	Computes the partial R2 and partial (Cohen's) f2
`plot(<sensemakr>)`	Sensitivity analysis plots for `sensemakr`
`print(<sensemakr>)` `summary(<sensemakr>)` `ovb_minimal_reporting()`	Sensitivity analysis print and summary methods for `sensemakr`
`robustness_value()` `rv()` `extreme_robustness_value()` `xrv()`	Computes the (extreme) robustness value
`sensemakr-package`	Sensemakr: extending omitted variable bias
`sensemakr()`	Sensitivity analysis to unobserved confounders
`sensitivity_stats()`	Sensitivity statistics for regression coefficients

Reference