Man pages for rhli-Hannah/RCATE
Robust Estimation of Heterogeneous Treatment Effect
| hypertension | Systolic blood pressure of 1653 patients. |
| importance.rcate | Importance level from machine learning algorithms. |
| marginal.rcate | Marginal treatment effect plot. |
| perm.plot.rcate.ml | Plot performance history of machine learning algorithm. |
| predict.rcate.am | Prediction of treatment effect from an L_1 b-spline additive... |
| predict.rcate.ml | Predict treatment effect from machine learning algorithms. |
| predict.rcate.rf | Predict treatment effect from robust random forests. |
| predict.reg.rf | Predict outcome from robust random forests. |
| predict.reg.tree | Predict outcome from robust regression tree. |
| rcate.am | Robust estimation of treatment effect using additive b-spline... |
| rcate.ml | Robust estimation of treatment effect. |
| rcate.rf | Robust estimation of treatment effect using random forests. |
| reg_rf | Robust random forests. |
| reg_tree_imp | Robust regression tree. |
