Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family R package boinet version 1.6.0 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. Software Depends: R (>= 4.1.0) Imports: Iso, mfp, copula, gt, tibble, shiny, shinydashboard, DT, plotly, ggplot2, rhandsontable, shinyBS Suggests: testthat (>= 3.0.0), knitr, rmarkdown, dplyr (>= 1.0.0), Yusuke Yamaguchi <yamagubed@gmail.com> Comprehensive R Archive Network (CRAN) Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=boinet/LICENSE) 2026-07-28 application/tgz https://CRAN.R-project.org/package=boinet doi:10.32614/CRAN.package.boinet