+.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 |