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RobinCar2  

ROBust INference for Covariate Adjustment in Randomized Clinical Trials
View on CRAN: Click here


Download and install RobinCar2 package within the R console
Install from CRAN:
install.packages("RobinCar2")

Install from Github:
library("remotes")
install_github("cran/RobinCar2")

Install by package version:
library("remotes")
install_version("RobinCar2", "0.1.1")



Attach the package and use:
library("RobinCar2")
Maintained by
Liming Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-03
Latest Update: 2025-04-03
Description:
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>.
How to cite:
Liming Li (2025). RobinCar2: ROBust INference for Covariate Adjustment in Randomized Clinical Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/RobinCar2. Accessed 19 Apr. 2025.
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Complete documentation for RobinCar2
Functions, R codes and Examples using the RobinCar2 R package
Full RobinCar2 package functions and examples
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