Package: RABR 0.1.1

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) <https://doi.org/10.1002/sim.9104>.

Authors:Tianyu Zhan [aut, cre]

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RABR.pdf |RABR.html✨
RABR/json (API)
NEWS

# Install 'RABR' in R:
install.packages('RABR', repos = c('https://tian-yu-zhan.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/tian-yu-zhan/rabr/issues

On CRAN:

2 exports 1 stars 0.74 score 43 dependencies 6 scripts 211 downloads

Last updated 2 years agofrom:f129bb8e97. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winNOTEAug 30 2024
R-4.5-linuxNOTEAug 30 2024
R-4.4-winNOTEAug 30 2024
R-4.4-macNOTEAug 30 2024
R-4.3-winNOTEAug 30 2024
R-4.3-macNOTEAug 30 2024

Exports:RABRbinaryRABRcontinuous

Dependencies:asdclicodetoolscolorspacecubaturedata.tabledoParallelfansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmultcompmultxpertmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcpprlangsandwichscalessurvivalTH.datatibbleutf8vctrsviridisLitewithrzoo

A Practical Response Adaptive Block Randomization (RABR) Design with Analytic Type I Error Protection

Tianyu Zhan

Rendered fromRABR-vignette.Rmdusingknitr::rmarkdownon Aug 30 2024.

Last update: 2021-05-21
Started: 2021-05-21