ROBust INference for Covariate Adjustment in Randomized Clinical Trials R package RobinCar2 version 0.2.3 Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized controlled trials. This package is trimmed to reduce the dependencies and validated to be used across industry. See "FDA's final guidance on covariate adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018) <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan (2010)<doi:10.2202/1557-4679.1138>, Wang et al. (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi, and Ye (2024)<doi:10.48550/arXiv.2306.10213>. Software Depends: R (>= 3.6) Imports: checkmate, numDeriv, MASS, sandwich, stats, survival, utils Suggests: knitr, rmarkdown, testthat (>= 3.0) Liming Li <liming.li1@astrazeneca.com> Comprehensive R Archive Network (CRAN) Liming Li [aut, cre] (ORCID: <https://orcid.org/0009-0008-6870-0878>), Marlena Bannick [aut] (ORCID: <https://orcid.org/0000-0001-6279-5978>), Daniel Sabanes Bove [aut] (ORCID: <https://orcid.org/0000-0002-0176-9239>), Dong Xi [aut], Ting Ye [aut], Yanyao Yi [aut], Gregory Chen [ctb], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], AstraZeneca plc [cph, fnd], Eli Lilly and Company [cph, fnd], Novartis Pharma AG [cph, fnd], The University of Washington [cph, fnd] Apache License 2.0 2026-07-02 application/tgz https://CRAN.R-project.org/package=RobinCar2 doi:10.32614/CRAN.package.RobinCar2 en-US