RCTCovAdj - Covariate Adjustment for Randomized Controlled Trials
Implements covariate-adjusted estimation and inference for
marginal mean differences in two-arm randomized controlled
trials with continuous outcomes. Methods include the unadjusted
difference in means, common-slope analysis of covariance,
interacted standardization with joint influence-function
inference, and cross-fitted augmentation. The package also
provides analytic power and sample-size calculations,
reproducible simulation designs, and article replication
workflows, including tools for verifying and analyzing an
authorized local trial-data file. The adjustment methods build
on Tsiatis et al. (2008) <doi:10.1002/sim.3113> and Lin (2013)
<doi:10.1214/12-AOAS583>.
