R package evalITR provides various statistical methods for estimating
and evaluating Individualized Treatment Rules under randomized data. The
provided metrics include (1) population average prescriptive effect
PAPE; (2) population average prescriptive effect with a budget
constraint PAPEp; (3) population average prescriptive effect
difference with a budget constraint PAPDp. This quantity will be
computed with more than 2 machine learning algorithms); (4) and area
under the prescriptive effect curve AUPEC. For more information about
these evaluation metrics, please refer to Imai and Li
(2021); (5) Grouped Average Treatment
Effects GATEs. The details of the methods for this design are given in
Imai and Li (2022).