API for Larsvanderlaan/npcausalML
Nonparametric estimation of the relative risk function
| Global functions | |
|---|---|
| EP_learn | Source code |
| Lrnr_earth | Man page |
| check_data | Source code |
| compute_EP_nuisances | Source code |
| compute_plugin_and_IPW_sieve_nuisances | Source code |
| cv_predict_learner | Source code |
| design_function_sieve_IPW_CATE | Source code |
| design_function_sieve_IPW_LRR | Source code |
| design_function_sieve_plugin_CATE | Source code |
| design_function_sieve_plugin_LRR | Source code |
| efficient_loss_function_CATE | Source code |
| efficient_loss_function_LRR | Source code |
| efficient_risk_function | Man page Source code |
| estimate_initial_likelihood | Man page Source code |
| estimate_using_ERM | Man page Source code |
| fourier_basis | Man page |
| get_EP_learner_task | Source code |
| get_EP_learner_task_helper | Source code |
| hello | Man page |
| npRRWorkingModel | Source code |
| npcausalML | Source code |
| outcome_function_IPW_CATE | Source code |
| outcome_function_IPW_LRR | Source code |
| outcome_function_plugin_CATE | Source code |
| outcome_function_plugin_LRR | Source code |
| predict | Source code |
| predict.EP_learn | Source code |
| quotemeta | Source code |
| subset_best_sieve | Source code |
| subset_best_sieve_all_folds | Source code |
| train_learner_all_sieves | Source code |
| train_learners | Source code |
| train_learners_using_fold | Source code |
| weight_function_IPW_CATE | Source code |
| weight_function_IPW_LRR | Source code |
| weight_function_plugin_CATE | Source code |
| weight_function_plugin_LRR | Source code |
| weight_function_sieve_IPW_CATE | Source code |
| weight_function_sieve_IPW_LRR | Source code |
| weight_function_sieve_plugin_CATE | Source code |
| weight_function_sieve_plugin_LRR | Source code |
