The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 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 LICENSE
URL: https://github.com/tian-yu-zhan/RABR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: RABR results

Documentation:

Reference manual: RABR.pdf
Vignettes: RABR-vignette

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RABR to link to this page.

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.
Health stats visible at Monitor.