The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

RobinCar: Robust Inference for Covariate Adjustment in Randomized Clinical Trials

Performs robust estimation and inference when using covariate adjustment and/or covariate-adaptive randomization in randomized clinical trials. Ting Ye, Jun Shao, Yanyao Yi, Qinyuan Zhao (2023) <doi:10.1080/01621459.2022.2049278>. Ting Ye, Marlena Bannick, Yanyao Yi, Jun Shao (2023) <doi:10.1080/24754269.2023.2205802>. Ting Ye, Jun Shao, Yanyao Yi (2023) <doi:10.1093/biomet/asad045>. Marlena Bannick, Jun Shao, Jingyi Liu, Yu Du, Yanyao Yi, Ting Ye (2024) <doi:10.48550/arXiv.2306.10213>.

Version: 0.3.2
Depends: R (≥ 2.10)
Imports: dplyr, magrittr, tidyr, emulator, numDeriv, tidyverse, stats, rlang, survival, fastDummies, data.table, broom, SuperLearner, AIPW, MASS
Suggests: knitr, rmarkdown, ranger, forcats, testthat (≥ 3.0.0)
Published: 2024-11-08
DOI: 10.32614/CRAN.package.RobinCar
Author: Marlena Bannick ORCID iD [cre, aut], Ting Ye [aut], Yanyao Yi [aut], Faith Bian [aut]
Maintainer: Marlena Bannick <mnorwood at uw.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RobinCar results

Documentation:

Reference manual: RobinCar.pdf

Downloads:

Package source: RobinCar_0.3.2.tar.gz
Windows binaries: r-devel: RobinCar_0.3.2.zip, r-release: RobinCar_0.3.2.zip, r-oldrel: RobinCar_0.3.2.zip
macOS binaries: r-release (arm64): RobinCar_0.3.2.tgz, r-oldrel (arm64): RobinCar_0.3.2.tgz, r-release (x86_64): RobinCar_0.3.2.tgz, r-oldrel (x86_64): RobinCar_0.3.2.tgz
Old sources: RobinCar archive

Reverse dependencies:

Reverse suggests: beeca

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RobinCar to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.