| +.policy_eval | Policy Evaluation |
| coef.policy_eval | Policy Evaluation |
| conditional | Conditional Policy Evaluation |
| control_blip | Control arguments for doubly robust blip-learning |
| control_drql | Control arguments for doubly robust Q-learning |
| control_earl | Control arguments for Efficient Augmentation and Relaxation Learning |
| control_owl | Control arguments for Outcome Weighted Learning |
| control_ptl | Control arguments for Policy Tree Learning |
| control_rwl | Control arguments for Residual Weighted Learning |
| copy_policy_data | Copy Policy Data Object |
| estimate.policy_eval | Policy Evaluation |
| fit_g_functions | Fit g-functions |
| get_actions | Get Actions |
| get_action_set | Get Action Set |
| get_g_functions | Get g-functions |
| get_history | Get History Object |
| get_history_names | Get history variable names |
| get_id | Get IDs |
| get_id_stage | Get IDs and Stages |
| get_K | Get Maximal Stages |
| get_n | Get Number of Observations |
| get_policy | Get Policy |
| get_policy_actions | Get Policy Actions |
| get_policy_functions | Get Policy Functions |
| get_policy_functions.blip | Get Policy Functions |
| get_policy_functions.drql | Get Policy Functions |
| get_policy_functions.ptl | Get Policy Functions |
| get_policy_functions.ql | Get Policy Functions |
| get_policy_object | Get Policy Object |
| get_q_functions | Get Q-functions |
| get_stage_action_sets | Get Stage Action Sets |
| get_utility | Get the Utility |
| g_empir | g_model class object |
| g_glm | g_model class object |
| g_glmnet | g_model class object |
| g_model | g_model class object |
| g_rf | g_model class object |
| g_sl | g_model class object |
| g_xgboost | g_model class object |
| history | Get History Object |
| IC.policy_eval | Policy Evaluation |
| merge.policy_eval | Policy Evaluation |
| nuisance_functions | Nuisance Functions |
| partial | Trim Number of Stages |
| plot.policy_data | Plot policy data for given policies |
| plot.policy_eval | Plot histogram of the influence curve for a 'policy_eval' object |
| policy | Policy-class |
| policy_data | Create Policy Data Object |
| policy_def | Define Policy |
| policy_eval | Policy Evaluation |
| policy_learn | Create Policy Learner |
| policy_object | Create Policy Learner |
| predict.nuisance_functions | Predict g-functions and Q-functions |
| print.policy_data | Create Policy Data Object |
| print.policy_eval | Policy Evaluation |
| print.policy_learn | Create Policy Learner |
| print.policy_object | Create Policy Learner |
| q_glm | q_model class object |
| q_glmnet | q_model class object |
| q_model | q_model class object |
| q_rf | q_model class object |
| q_sl | q_model class object |
| q_xgboost | q_model class object |
| sim_multi_stage | Simulate Multi-Stage Data |
| sim_single_stage | Simulate Single-Stage Data |
| sim_single_stage_multi_actions | Simulate Single-Stage Multi-Action Data |
| sim_two_stage | Simulate Two-Stage Data |
| sim_two_stage_multi_actions | Simulate Two-Stage Multi-Action Data |
| subset_id | Subset Policy Data on ID |
| summary.policy_data | Create Policy Data Object |
| summary.policy_eval | Policy Evaluation |
| vcov.policy_eval | Policy Evaluation |