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>.

Getting started

Package details

AuthorMichael Lingzhi Li [aut, cre], Kosuke Imai [aut]
MaintainerMichael Lingzhi Li <mlli@mit.edu>
LicenseGPL (>= 2)
Version0.2.1
URL https://github.com/MichaelLLi/evalITR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("evalITR")

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evalITR documentation built on July 8, 2021, 1:06 a.m.