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 |
| 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 |
| In views: | ClinicalTrials |
| CRAN checks: | RABR results |
| Reference manual: | RABR.html , RABR.pdf |
| Vignettes: |
RABR-vignette (source, R code) |
| Package source: | RABR_0.1.1.tar.gz |
| Windows binaries: | r-devel: RABR_0.1.1.zip, r-release: RABR_0.1.1.zip, r-oldrel: RABR_0.1.1.zip |
| macOS binaries: | r-release (arm64): RABR_0.1.1.tgz, r-oldrel (arm64): RABR_0.1.1.tgz, r-release (x86_64): RABR_0.1.1.tgz, r-oldrel (x86_64): RABR_0.1.1.tgz |
| Old sources: | RABR archive |
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