evalITR

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).