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evalHTE  

Evaluating Heterogeneous Treatment Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("evalHTE", "0.2.0")



Attach the package and use:
library("evalHTE")
Maintained by
Michael Lingzhi Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-28
Latest Update: 2026-01-28
Description:
Provides various statistical methods for evaluating heterogeneous treatment effects (HTE) in randomized experiments. The package includes tools to estimate uniform confidence bands for estimation of the group average treatment effect sorted by generic machine learning algorithms (GATES). It also provides the tools to identify a subgroup of individuals who are likely to benefit from a treatment the most "exceptional responders" or those who are harmed by it. Detailed reference in Imai and Li (2023) <doi:10.48550/arXiv.2310.07973>.
How to cite:
Michael Lingzhi Li (2026). evalHTE: Evaluating Heterogeneous Treatment Effects. R package version 0.2.0, https://cran.r-project.org/web/packages/evalHTE. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-09-07 10:30), 0.1.0 (2026-01-28 20:10), 0.1.1 (2026-02-03 10:00)
Other packages that cited evalHTE R package
View evalHTE citation profile
Other R packages that evalHTE depends, imports, suggests or enhances
Complete documentation for evalHTE
Functions, R codes and Examples using the evalHTE R package
Full evalHTE package functions and examples
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