.check_A | Check Number of Observations for Inference |
.check_first_batch | Check First Batch Validity |
.check_shape | Check Shape Compatibility of Probability Objects |
aw_estimate | Estimate policy value via non-contextual adaptive weighting. |
aw_scores | Compute AIPW/doubly robust scores. |
aw_var | Variance of policy value estimator via non-contextual adaptive weighting. |
calculate_balwts | Calculate balancing weight scores. |
calculate_continuous_X_statistics | Estimate/variance of policy evaluation via contextual weighting. |
draw_thompson | Thompson Sampling draws. |
estimate | Estimate/variance of policy evaluation via non-contextual weighting. |
generate_bandit_data | Generate classification data. |
ifelse_clip | Clip lamb values between a minimum x and maximum y. |
impose_floor | Impose probability floor. |
LinTSModel | Linear Thompson Sampling model. |
output_estimates | Policy evaluation with adaptively generated data. |
plot_cumulative_assignment | Plot cumulative assignment for bandit experiment. |
ridge_init | Ridge Regression Initialization for Arm Expected Rewards |
ridge_muhat_lfo_pai | Leave-future-out ridge-based estimates for arm expected rewards. |
ridge_update | Updates ridge regression matrices. |
run_experiment | Run an experiment using Thompson Sampling. |
simple_tree_data | Generate simple tree data. |
stick_breaking | Stick breaking function. |
twopoint_stable_var_ratio | Calculate allocation ratio for a two-point stable-variance bandit. |
update_thompson | Update linear Thompson Sampling model. |