1. Evaluate type I error rate, power, and ASN (average sample size) of RABR | 2. Choose hyperparameters of RABR based on a specific study objective
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:
RABR_0.1.1.tar.gz
RABR_0.1.1.zip(r-4.7-any)RABR_0.1.1.zip(r-4.6-any)RABR_0.1.1.zip(r-4.5-any)
RABR_0.1.1.tgz(r-4.6-any)RABR_0.1.1.tgz(r-4.5-any)
RABR_0.1.1.tar.gz(r-4.7-any)RABR_0.1.1.tar.gz(r-4.6-any)
RABR_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RABR/json (API)
| # 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
Last updated from:f129bb8e97. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 129 | ||
| source / vignettes | OK | 272 | ||
| linux-release | NOTE | 157 | ||
| macos-release | NOTE | 146 | ||
| macos-oldrel | NOTE | 167 | ||
| windows-devel | NOTE | 94 | ||
| windows-release | NOTE | 95 | ||
| windows-oldrel | NOTE | 89 | ||
| wasm-release | OK | 95 |
Exports:RABRbinaryRABRcontinuous
Dependencies:asdclicodetoolscpp11cubaturedata.tabledoParallelfarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecycleMASSMatrixmultcompmultxpertmvtnormR6RColorBrewerRcpprlangS7sandwichscalessurvivalTH.datavctrsviridisLitewithrzoo
