Package: HOIFCar 1.1.1

Xinbo Wang

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>.

Authors:Sihui Zhao [aut], Xinbo Wang [cre, aut], Yujia Gu [aut], Wei Ma [ctb], Liu Liu [ctb]

HOIFCar_1.1.1.tar.gz
HOIFCar_1.1.1.tar.gz(r-4.7-any)HOIFCar_1.1.1.tar.gz(r-4.6-any)
HOIFCar_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
HOIFCar/json (API)

# Install 'HOIFCar' in R:
install.packages('HOIFCar', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 135 downloads 10 exports 20 dependencies

Last updated from:352addbbb4. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK135
source / vignettesOK269
linux-release-x86_64OK139
wasm-releaseOK100

Exports:esti_mean_treatfit.adj2.adj2c.CARfit.adj2.adj2c.Randomfit.adj2.adj2c.Superfit.ate.adj2.adj2c.Randomfit.JASAfit.treat.adj2.adj2c.Randomget_oracle_bias_var_adj_2_3get_oracle_bias_var_adj_dbget_oracle_bias_var_adj2c

Dependencies:BBbrglm2codetoolsdoParallelenrichwithforeachglmnetiteratorslatticeMASSMatrixnleqslvnnetnumDerivquadprogRcppRcppEigenshapestatmodsurvival