boinet: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family

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: 1.0.0
Imports: Iso, mfp, copula
Suggests: testthat (≥ 3.0.0)
Published: 2023-06-08
DOI: 10.32614/CRAN.package.boinet
Author: Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut]
Maintainer: Yusuke Yamaguchi <yamagubed at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: boinet results


Reference manual: boinet.pdf


Package source: boinet_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): boinet_1.0.0.tgz, r-oldrel (arm64): boinet_1.0.0.tgz, r-release (x86_64): boinet_1.0.0.tgz, r-oldrel (x86_64): boinet_1.0.0.tgz
Old sources: boinet archive


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