| add_sign | Add signs to variable names |
| boot_ci | Bootstrap Confidence Intervals |
| boot_default | Bootstrap (default) Bootstrap function for the non-parametric and the nearest neighbor methods |
| dev_moments | Moment deviation |
| kl_dist_cor | Kullback-Leibler Divergence |
| kl_dist_def | Kullback-Leibler Divergence |
| nn | Nearest-neighbors method |
| nn_wgt | Nearest-neighbors weights |
| non_parm | Non-parametric method |
| optint | Optimal intervention |
| optint_by_group | Optimal intervention, by group |
| outcome_diff | Outcome difference |
| par_cor | Partial Correlation |
| perm_test | Permutation test Test the null hypothesis P(X|I=0) = P(X|I=1), using permutation test. |
| per_distance | Distance Between Distributions |
| plot.optint | Plot optint object |
| plot.optint_by_group | Plot optint object, by group |
| plot_change | Plot the change in the distribution of X |
| summary.optint | Summary for optint object |
| var_pos | Variable Position |
| wgt_adjust | Weights adjustment |
| wtd_bin | Weighted Bin |