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 [aut, cre] Maintainer: Tianyu Zhan <tianyu.zhan.stats at gmail.com> BugReports: https://github.com/tian-yu-zhan/RABR/issues License: MIT + file LICENSE URL: https://github.com/tian-yu-zhan/RABR NeedsCompilation: no Materials: README, NEWS CRAN checks: RABR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RABR to link to this page.
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