c_model                 c_model class object
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
fit_c_functions         Fit Censoring Functions
fit_g_functions         Fit g-functions
g_model                 g_model class object
get_K                   Get Maximal Stages
get_action_set          Get Action Set
get_actions             Get Actions
get_event               Get event indicators
get_g_functions         Get g-functions
get_history_names       Get history variable names
get_id                  Get IDs
get_id_stage            Get IDs and Stages
get_n                   Get Number of Observations
get_policy              Get Policy
get_policy_actions      Get Policy Actions
get_policy_functions.blip
                        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
history                 Get History Object
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_eval_online      Online/Sequential Policy Evaluation
policy_learn            Create Policy Learner
predict.nuisance_functions
                        Predict g-functions and Q-functions
q_model                 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
