In MichaelLLi/evalITR: Evaluating Individualized Treatment Rules

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evalITR

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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; (4) and area under the prescriptive effect curve AUPEC; (5) Grouped Average Treatment Effects GATEs. The details of the methods for this design are given in Imai and Li (2023) and Imai and Li.

Documentation and website: https://michaellli.github.io/evalITR/

MichaelLLi/evalITR documentation built on Sept. 17, 2023, 4:35 p.m.