Covariate Adjustment in RCT by Higher-Order Influence Functions R package HOIFCar version 1.1.1 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>. Software Imports: brglm2, BB, parallel, doParallel, foreach, glmnet, stats, MASS Suggests: mvtnorm Xinbo Wang <cinbo_w@sjtu.edu.cn> Comprehensive R Archive Network (CRAN) Sihui Zhao [aut], Xinbo Wang [cre, aut], Yujia Gu [aut], Wei Ma [ctb], Liu Liu [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=HOIFCar/LICENSE) 2026-02-02 application/tgz https://CRAN.R-project.org/package=HOIFCar doi:10.32614/CRAN.package.HOIFCar