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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.1 |
rolling source/ R- | HOIFCar_1.1.1.tar.gz |
27.8 KiB |
1.1.1 |
rolling linux/jammy R-4.5 | HOIFCar_1.1.1.tar.gz |
173.6 KiB |
1.1.1 |
rolling linux/noble R-4.5 | HOIFCar_1.1.1.tar.gz |
173.7 KiB |
1.1.1 |
latest source/ R- | HOIFCar_1.1.1.tar.gz |
27.8 KiB |
1.1.1 |
latest linux/jammy R-4.5 | HOIFCar_1.1.1.tar.gz |
173.6 KiB |
1.1.1 |
latest linux/noble R-4.5 | HOIFCar_1.1.1.tar.gz |
173.7 KiB |
1.1.1 |
2026-04-23 source/ R- | HOIFCar_1.1.1.tar.gz |
27.8 KiB |
1.1.1 |
2026-04-09 windows/windows R-4.5 | HOIFCar_1.1.1.zip |
176.1 KiB |