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evalITR  

Evaluating Individualized Treatment Rules
View on CRAN: Click here


Download and install evalITR package within the R console
Install from CRAN:
install.packages("evalITR")

Install from Github:
library("remotes")
install_github("cran/evalITR")

Install by package version:
library("remotes")
install_version("evalITR", "1.0.0")



Attach the package and use:
library("evalITR")
Maintained by
Michael Lingzhi Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-20
Latest Update: 2023-08-25
Description:
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) .
How to cite:
Michael Lingzhi Li (2020). evalITR: Evaluating Individualized Treatment Rules. R package version 1.0.0, https://cran.r-project.org/web/packages/evalITR. Accessed 10 Jun. 2026.
Previous versions and publish date:
0.1.0 (2020-02-20 10:10), 0.2.0 (2020-10-14 22:00), 0.2.1 (2021-07-07 21:40), 0.2.2 (2021-10-16 06:40), 0.3.0 (2022-03-29 08:30)
Other packages that cited evalITR R package
View evalITR citation profile
Other R packages that evalITR depends, imports, suggests or enhances
Complete documentation for evalITR
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