HOIFCar: Covariate Adjustment in RCT by Higher-Order Influence Functions

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>.

Version:	1.1.1
Imports:	brglm2, BB, parallel, doParallel, foreach, glmnet, stats, MASS
Suggests:	mvtnorm
Published:	2026-02-02
DOI:	10.32614/CRAN.package.HOIFCar
Author:	Sihui Zhao [aut], Xinbo Wang [cre, aut], Yujia Gu [aut], Wei Ma [ctb], Liu Liu [ctb]
Maintainer:	Xinbo Wang <cinbo_w at sjtu.edu.cn>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	HOIFCar results

Documentation:

Reference manual:

HOIFCar.html , HOIFCar.pdf

Downloads:

Package source:	HOIFCar_1.1.1.tar.gz
Windows binaries:	r-devel: HOIFCar_1.1.0.zip, r-release: HOIFCar_1.1.0.zip, r-oldrel: HOIFCar_1.1.0.zip
macOS binaries:	r-release (arm64): HOIFCar_1.1.0.tgz, r-oldrel (arm64): HOIFCar_1.1.0.tgz, r-release (x86_64): HOIFCar_1.1.0.tgz, r-oldrel (x86_64): HOIFCar_1.1.0.tgz
Old sources:	HOIFCar archive

Linking:

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