Package: HOIFCar
Type: Package
Title: Covariate Adjustment in RCT by Higher-Order Influence Functions
Version: 1.1.1
Authors@R: c( 
    person("Sihui", "Zhao", email = "shzhao0115@sjtu.edu.cn", role = "aut"),
    person("Xinbo", "Wang", email = "cinbo_w@sjtu.edu.cn", role = c("cre", "aut")),
    person("Yujia", "Gu", email = "guyj@mail.tsinghua.edu.cn", role = "aut"),
    person("Wei", "Ma", email = "mawei@ruc.edu.cn", role = "ctb"),
    person("Liu", "Liu", email = "linliu@sjtu.edu.cn", role = "ctb"))
Maintainer: Xinbo Wang <cinbo_w@sjtu.edu.cn>
Description: Estimates treatment effects  using covariate adjustment methods in Randomized Clinical Trials (RCT) motivated by higher-order influence functions (HOIF). Provides point estimates, oracle bias, variance, and approximate variance for HOIF-adjusted estimators. For methodology details, see Zhao et al. (2024) <doi:10.48550/arXiv.2411.08491> and Gu et al. (2025) <doi:10.48550/arXiv.2512.20046>.
License: MIT + file LICENSE
Suggests: mvtnorm
Encoding: UTF-8
RoxygenNote: 7.3.3
NeedsCompilation: no
Imports: brglm2, BB, parallel, doParallel, foreach, glmnet, stats, MASS
Packaged: 2026-02-02 01:25:59 UTC; xinbowang
Author: Sihui Zhao [aut],
  Xinbo Wang [cre, aut],
  Yujia Gu [aut],
  Wei Ma [ctb],
  Liu Liu [ctb]
Repository: CRAN
Date/Publication: 2026-02-02 14:40:19 UTC
Built: R 4.6.0; ; 2026-04-28 04:57:56 UTC; unix
