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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/
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.