| add_spl_est | The additive spline estimator |
| aipwee_est | Prediction with a residual bias correction estimator |
| bart_est | The BART estimator |
| gam_est | The GAM estimator |
| get_ci | This calculates an upper and lower bound from bootstrap matrix |
| hi_est | The Hirano and Imbens estimator |
| hi_sim_data | Simulated data from Hirano and Imbens (2004) |
| iptw_est | The inverse probability of treatment weighting (iptw) estimator |
| ismw_est | The inverse second moment weighting (ismw) estimator |
| iw_est | The inverse weighting estimator (nonparametric method) |
| nmes_data | Data set containing data from the National Medical Expenditure Survey (NMES) |
| nw_est | The Nadaraya-Watson modified estimator |
| overlap_fun | This function creates an overlapping dataset |
| prop_spline_est | The propensity-spline prediction estimator |
| reg_est | The regression prediction estimator |
| scalar_wts | This function calculates scalar weights for use in other models |
| sim_data | Simulated data from Schafer and Galagate (2015) |
| t_mod | A function to estimate conditional expected values and higher order moments |
| wtrg_est | The weighted regression estimator |