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: 1.4.0 Depends: R (≥ 4.1.0) Imports: Iso, mfp, copula, gt, tibble Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, dplyr (≥ 1.0.0), ggplot2 Published: 2025-06-26 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=boinet to link to this page.
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