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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 |
Reference manual: | RABR.pdf |
Vignettes: |
RABR-vignette |
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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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.