Bayesian optimal interval based on both efficacy and toxicity outcomes (BOIN-ET) design is a model-assisted oncology phase I/II trial design, aiming to establish an optimal biological dose accounting for efficacy and toxicity in the framework of dose-finding. Some extensions of BOIN-ET design are also available to allow for time-to-event efficacy and toxicity outcomes based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET), ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET: gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to implement the BOIN-ET design family and supports the conduct of simulation studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET, gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in flexible and straightforward ways depending on their own application.
Version: | 1.2.0 |
Depends: | R (≥ 4.1.0) |
Imports: | Iso, mfp, copula, gt, tibble |
Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, dplyr (≥ 1.0.0), ggplot2 |
Published: | 2025-06-05 |
DOI: | 10.32614/CRAN.package.boinet |
Author: | Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut] |
Maintainer: | Yusuke Yamaguchi <yamagubed at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | boinet results |
Package source: | boinet_1.2.0.tar.gz |
Windows binaries: | r-devel: boinet_1.1.0.zip, r-release: boinet_1.1.0.zip, r-oldrel: boinet_1.1.0.zip |
macOS binaries: | r-release (arm64): boinet_1.1.0.tgz, r-oldrel (arm64): boinet_1.1.0.tgz, r-release (x86_64): boinet_1.1.0.tgz, r-oldrel (x86_64): boinet_1.1.0.tgz |
Old sources: | boinet archive |
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