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]

RABR_0.1.1.tar.gz
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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'))

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

On CRAN:

Conda:

3.70 score 1 stars 6 scripts 180 downloads 2 exports 43 dependencies

Last updated 3 years agofrom:f129bb8e97. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winNOTEMar 28 2025
R-4.5-macNOTEMar 28 2025
R-4.5-linuxNOTEMar 28 2025
R-4.4-winNOTEMar 28 2025
R-4.4-macNOTEMar 28 2025
R-4.4-linuxNOTEMar 28 2025
R-4.3-winNOTEMar 28 2025
R-4.3-macNOTEMar 28 2025

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 Mar 28 2025.

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