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>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: digest, graphics, grDevices, parallel, stats, tools, utils
Suggests: knitr, medicaldata (≥ 0.2.0), rmarkdown, testthat (≥ 3.0.0), withr
Published: 2026-09-24
DOI: 10.32614/CRAN.package.RCTCovAdj (may not be active yet)
Author: Se Yoon Lee [aut, cre, cph]
Maintainer: Se Yoon Lee <seyoonlee.stat.math at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: RCTCovAdj citation info
Materials: README, NEWS
CRAN checks: RCTCovAdj results

Documentation:

Reference manual: RCTCovAdj.html , RCTCovAdj.pdf
Vignettes: Covariate Adjustment in Randomized Controlled Trials (source, R code)
Reproducing the Paper's Numerical Results (source, R code)

Downloads:

Package source: RCTCovAdj_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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