API for wlattner/hete
Heterogeneous Treatment Effect Modeling
| Global functions | |
|---|---|
| `%||%` | Source code |
| add_observation_counts | Source code |
| add_observed_ate | Source code |
| add_predictions | Source code |
| as_numeric | Source code |
| as_numeric_outcome | Source code |
| base_estimator | Man page Source code |
| check_tmt | Source code |
| check_y | Source code |
| cv_predict | Man page Source code |
| cv_predict.default | Man page Source code |
| cv_predict.formula | Man page Source code |
| cv_predict_impl | Source code |
| extract_model_terms | Source code |
| fit_predict | Source code |
| gotv | Man page |
| hete_model | Source code |
| hete_single | Man page Source code |
| hete_single.default | Man page Source code |
| hete_single.formula | Man page Source code |
| hete_single_impl | Source code |
| hete_split | Man page Source code |
| hete_split.default | Man page Source code |
| hete_split.formula | Man page Source code |
| hete_split_impl | Source code |
| hete_tot | Man page Source code |
| hete_tot.default | Man page Source code |
| hete_tot.formula | Man page Source code |
| hete_tot_impl | Source code |
| hete_x | Man page Source code |
| hete_x.default | Man page Source code |
| hete_x.formula | Man page Source code |
| hete_x_impl | Source code |
| meta_learner_name | Source code |
| model_lift | Source code |
| parse_hete_formula | Source code |
| plot.hete_model | Source code |
| plot.hete_uplift | Source code |
| plot_quantiles | Source code |
| predict.base_estimator | Source code |
| predict.hete_single | Man page Source code |
| predict.hete_split | Source code |
| predict.hete_tot | Source code |
| predict.hete_x | Source code |
| print.hete_model | Source code |
| qini | Source code |
| random_forest | Man page |
| rf_fit | Source code |
| rf_predict | Source code |
| select_control | Source code |
| select_status | Source code |
| select_treatment | Source code |
| trapz | Source code |
| uplift | Man page Source code |
