Crandore Hub

evalITR

Evaluating Individualized Treatment Rules

Provides various statistical methods for evaluating Individualized Treatment Rules under randomized data. The provided metrics include Population Average Value (PAV), Population Average Prescription Effect (PAPE), Area Under Prescription Effect Curve (AUPEC). It also provides the tools to analyze Individualized Treatment Rules under budget constraints. Detailed reference in Imai and Li (2019) <arXiv:1905.05389>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling source/ R- evalITR_1.0.0.tar.gz 950.9 KiB
1.0.0 latest source/ R- evalITR_1.0.0.tar.gz 950.9 KiB
1.0.0 2026-04-23 source/ R- evalITR_1.0.0.tar.gz 950.9 KiB
1.0.0 2026-04-09 windows/windows R-4.5 evalITR_1.0.0.zip 1.1 MiB

Dependencies (latest)

Depends

Imports

Suggests