Man pages for policytree
Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
| conditional_means | Estimate mean rewards mu for each treatment a |
| create_dot_body | Writes each node information If it is a leaf node: show it in... |
| double_robust_scores | Matrix Gamma of scores for each treatment a |
| export_graphviz | Export a tree in DOT format. This function generates a... |
| gen_data_epl | Example data generating process from Policy Learning With... |
| gen_data_mapl | Example data generating process from Offline Multi-Action... |
| hybrid_policy_tree | Hybrid tree search |
| make_tree | A utility function for generating random trees for test... |
| multi_causal_forest | (deprecated) One vs. all causal forest for multiple treatment... |
| plot.policy_tree | Plot a policy_tree tree object. |
| policy_tree | Fit a policy with exact tree search |
| policytree-package | policytree: Policy Learning via Doubly Robust Empirical... |
| predict.policy_tree | Predict method for policy_tree |
| predict_test_tree | Predict with the above test tree. |
| print.policy_tree | Print a policy_tree object. |
