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: |
0.2.1 |
Suggests: |
mvtnorm |
Published: |
2025-06-25 |
Author: |
Sihui Zhao [aut],
Xinbo Wang [cre, aut],
Liu Liu [ctb] |
Maintainer: |
Xinbo Wang <cinbo_w at sjtu.edu.cn> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
CRAN checks: |
HOIFCar results |
Documentation:
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