Package: bfboinet 1.1.0

bfboinet: Backfill Bayesian Optimal Interval Design Using Efficacy and Toxicity

Implements the Backfill Bayesian Optimal Interval Design (BF-BOIN-ET), a novel clinical trial methodology for dose optimization that simultaneously consider both efficacy and toxicity outcome as described in (Takeda et al (2025) <doi:10.1002/pst.2470>). The package has been extended to include a seamless two-stage phase I/II trial design with backfill and joint efficacy and toxicity monitoring as described in (Takeda et al (2026) <doi:10.1002/pst.70092>).

Authors:Jing Zhu [cre, aut], Kentaro Takeda [aut], Belay Birlie Yimer [aut]

bfboinet_1.1.0.tar.gz
bfboinet_1.1.0.zip(r-4.7-any)bfboinet_1.1.0.zip(r-4.6-any)bfboinet_1.1.0.zip(r-4.5-any)
bfboinet_1.1.0.tgz(r-4.6-any)bfboinet_1.1.0.tgz(r-4.5-any)
bfboinet_1.1.0.tar.gz(r-4.7-any)bfboinet_1.1.0.tar.gz(r-4.6-any)
bfboinet_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bfboinet/json (API)

# Install 'bfboinet' in R:

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

Bug tracker:https://github.com/jingzhuzhuzhu/bfboinet/issues

On CRAN:

3.30 score 2 scripts 406 downloads 4 exports 103 dependencies

Last updated from:a25c12d772. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	179
source / vignettes	OK	225
linux-release	OK	178
macos-release	OK	140
macos-oldrel	OK	126
windows-devel	OK	125
windows-release	OK	125
windows-oldrel	OK	127
wasm-release	OK	121