create_mv_learners | Make SL of multivariate learners |
data_bin | Mock data set with Binary Treatment |
data_cat | Mock data set with Categorical Treatment |
data_cat_realistic | Mock data set with Categorical Treatment and rare treatment |
data_cat_vim | Mock data set for Variable Importance Analysis with... |
LF_rule | Dynamic Likelihood Factor |
normalize_rows | Normalize rows |
Optimal_Rule_Q_learning | Learns the Optimal Rule given a tmle_task and likelihood,... |
Optimal_Rule_Revere | Learning the Optimal Rule using the Revere framework |
Param_TSM_name | Treatment Specific Mean with names specifying the covariates... |
Q_learning | Q learning wrapper |
tmle3_mopttx_blip_revere | Mean under the Optimal Individualized Treatment Rule |
tmle3_mopttx_Q | Mean under the Optimal Individualized Treatment Rule, using Q... |
tmle3_mopttx_vim | Mean under the Optimal Individualized Treatment Rule |
tmle3_Spec_mopttx_blip_revere | TMLE for the Mean Under the Optimal Individualized Rule |
tmle3_Spec_mopttx_Q | Defines the Mean Under the Optimal Individualized Rule with... |
tmle3_Spec_mopttx_vim | Variable Importance with the Mean Under the Optimal... |
vals_from_factor | Get factors |
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