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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 ZhanORCID iD [aut, cre]
Maintainer:Tianyu Zhan <tianyu.zhan.stats at gmail.com>
BugReports:https://github.com/tian-yu-zhan/RABR/issues
License:MIT + fileLICENSE
URL:https://github.com/tian-yu-zhan/RABR
NeedsCompilation:no
Materials:README,NEWS
In views:ClinicalTrials
CRAN checks:RABR results

Documentation:

Reference manual:RABR.html ,RABR.pdf
Vignettes:RABR-vignette (source,R code)

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 formhttps://CRAN.R-project.org/package=RABRto link to this page.


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