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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "CSTE" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'CSTE: Covariate Specific Treatment Effect (CSTE) Curve'
version: 3.0.0
doi: 10.32614/CRAN.package.CSTE
abstract: A uniform statistical inferential tool in making individualized treatment
  decisions, which implements the methods of Ma et al. (2017)<DOI:10.1177/0962280214541724>
  and Guo et al. (2021)<DOI:10.1080/01621459.2020.1865167>. It uses a flexible semiparametric
  modeling strategy for heterogeneous treatment effect estimation in high-dimensional
  settings and can gave valid confidence bands. Based on it, one can find the subgroups
  of patients that benefit from each treatment, thereby making individualized treatment
  selection.
authors:
- family-names: Wu
  given-names: Peng
  email: wupeng@bicmr.pku.edu.cn
- family-names: Hu
  given-names: Wenjie
  email: huwenjie@pku.edu.cn
- family-names: Deng
  given-names: Yuhao
  email: dengyuhao@pku.edu.cn
- family-names: Wang
  given-names: Haoxiang
  email: whxwhx@pku.edu.cn
- family-names: Zhou
  given-names: Xiaohua
  email: azhou@math.pku.edu.cn
repository: https://hwj0828.r-universe.dev
commit: a2329d6325c9d6495beb2eb5fc2a6fb309af93c7
date-released: '2024-11-16'
contact:
- family-names: Hu
  given-names: Wenjie
  email: huwenjie@pku.edu.cn