R: Policy Learning

# Policy Learning

## Documentation for package ‘polle’ version 1.6.4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

+.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
c_cox | c_model class object
c_model | c_model class object
c_no_censoring | c_model class object
estimate.policy_eval | Policy Evaluation
fit_c_functions | Fit Censoring Functions
fit_g_functions | Fit g-functions
get_actions | Get Actions
get_action_set | Get Action Set
get_event | Get event indicators
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_eval_online | Online/Sequential 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
vcov.policy_eval_online | Policy Evaluation