+.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 |