Package: bfboinet 0.2.0

bfboinet: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity

The backfill Bayesian optimal interval design using efficacy and toxicity outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial design to allow patients to be backfilled at lower doses during a dose-finding trial while prioritizing the dose-escalation cohort to explore a higher dose. The advantages compared to the other designs in terms of the percentage of correct optimal dose (OD) selection, reducing the sample size, and shortening the duration of the trial, in various realistic setting.

Authors:Jing Zhu [cre, aut], Kentaro Takeda [aut]

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bfboinet.pdf |bfboinet.html
bfboinet/json (API)

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

On CRAN:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 374 downloads 2 exports 28 dependencies

Last updated 2 months agofrom:4816f82bb7. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 12 2025
R-4.5-winOKMar 12 2025
R-4.5-macOKMar 12 2025
R-4.5-linuxOKMar 12 2025
R-4.4-winOKMar 12 2025
R-4.4-macOKMar 12 2025
R-4.4-linuxOKMar 12 2025
R-4.3-winOKMar 12 2025
R-4.3-macOKMar 12 2025

Exports:get.oc.backboinetget.oc.backboinetr

Dependencies:ADGofTestclicolorspacecopuladplyrfansigenericsgluegslIsolatticelifecyclemagrittrMatrixmvtnormnumDerivpcaPPpillarpkgconfigpsplineR6rlangstabledisttibbletidyselectutf8vctrswithr

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