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RABR: Simulations for Response Adaptive Block Randomization Design
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:
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https://CRAN.R-project.org/package=RABR
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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.
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