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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "evalHTE" in publications use:'
type: software
license: MIT
title: 'evalHTE: Evaluating Heterogeneous Treatment Effects'
version: 0.2.0
doi: 10.32614/CRAN.package.evalHTE
abstract: 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)
  <https://doi.org/10.48550/arXiv.2310.07973>.
authors:
- family-names: Li
  given-names: Michael Lingzhi
  email: mili@hbs.edu
- family-names: Imai
  given-names: Kosuke
  email: imai@harvard.edu
repository: https://michaellli.r-universe.dev
commit: b3635b2073f566d4d49e7d9ae907dd8ec8032923
date-released: '2026-09-08'
contact:
- family-names: Li
  given-names: Michael Lingzhi
  email: mili@hbs.edu