Man pages for polle
Policy Learning

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...
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_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_object	Get Policy Object
get_q_functions	Get Q-functions
get_stage_action_sets	Get Stage Action Sets
get_utility	Get the Utility
g_model	g_model class 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'...
policy	Policy-class
policy_data	Create Policy Data Object
policy_def	Define Policy
policy_eval	Policy Evaluation
policy_learn	Create Policy Learner
polle-package	polle: Policy Learning
predict.nuisance_functions	Predict g-functions and Q-functions
q_model	q_model class object
reexports	Objects exported from other packages
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