R: Covariate Adjustment in RCT by Higher-Order Influence Functions

# Covariate Adjustment in RCT by Higher-Order Influence Functions

## Documentation for package ‘HOIFCar’ version 1.1.1

- DESCRIPTION file
- Package README

## Help Pages

esti_mean_treat | Estimate treatment effect and the corresponding variance estimation on the treatment arm using different covariate adjustment methods.
fit.adj2.adj2c.CAR | Covariate-Adjusted Treatment Effect Estimation under Covariate-Adaptive randomization
fit.adj2.adj2c.Random | Covariate-Adjusted Treatment Effect Estimation under the Randomization-based Framework
fit.adj2.adj2c.Super | Covariate-Adjusted Treatment Effect Estimation under the Super-Population Framework
fit.JASA | Covariate Adjustment via JAckknife Score-based Adjustment (JASA) for Generalized Linear Working Models
get_oracle_bias_var_adj2c | Estimate the oracle bias, the exact variance and approximated variance of the debiased estimator tau_adj2c inspired by HOIF (Zhao et al.(2024)).
get_oracle_bias_var_adj_2_3 | Estimate the oracle bias, the exact variance and approximated variance of the debiased estimator and the bias-free estimator motivated by HOIF (Zhao et al.(2024)).
get_oracle_bias_var_adj_db | Estimate the oracle bias, the oracle variance of the unadjusted estimator, the adjusted estimator by Lei’s (2020) and the debiased estimator tau_db by Lu et al.(2023).