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>.
| Version: | 1.1.0 |
| Imports: | brglm2,BB, parallel,doParallel,foreach,glmnet, stats,MASS |
| Suggests: | mvtnorm |
| Published: | 2025-12-14 |
| DOI: | 10.32614/CRAN.package.HOIFCar |
| Author: | Sihui Zhao [aut], Xinbo Wang [cre, aut], Liu Liu [ctb] |
| Maintainer: | Xinbo Wang <cinbo_w at sjtu.edu.cn> |
| License: | MIT + fileLICENSE |
| NeedsCompilation: | no |
| CRAN checks: | HOIFCar results |
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