Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Sihui Zhao [aut], Xinbo Wang [cre, aut], Liu Liu [ctb] |
| Maintainer | Xinbo Wang <cinbo_w@sjtu.edu.cn> |
| License | MIT + file LICENSE |
| Version | 0.2.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the HOIFCar package in your browser
Any scripts or data that you put into this service are public.
