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RABR: Simulations for Response Adaptive Block Randomization Design (original) (raw)

Conduct simulations of the Response Adaptive Block Randomization (RABR) design to evaluate its type I error rate, power and operating characteristics for binary and continuous endpoints. For more details of the proposed method, please refer to Zhan et al. (2021) <doi:10.1002/sim.9104>.

Version: 0.1.1
Imports: asd, cubature, data.table, doParallel, foreach, ggplot2, multcomp, multxpert, parallel, survival
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2022-08-17
DOI: 10.32614/CRAN.package.RABR
Author: Tianyu Zhan ORCID iD [aut, cre]
Maintainer: Tianyu Zhan <tianyu.zhan.stats at gmail.com>
BugReports: https://github.com/tian-yu-zhan/RABR/issues
License: MIT + file
URL: https://github.com/tian-yu-zhan/RABR
NeedsCompilation: no
Materials: README, NEWS
In views: ClinicalTrials
CRAN checks: RABR results

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