Package: boinet Version: 1.5.0 Title: Conduct Simulation Study of Bayesian Optimal Interval Design with BOIN-ET Family Authors@R: c( person(given = "Yusuke", family = "Yamaguchi", role = c("aut","cre"), email = "yamagubed@gmail.com"), person(given = "Kentaro", family = "Takeda", role = c("aut"))) Description: 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. License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.3 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), VignetteBuilder: knitr Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2026-07-07 06:08:30 UTC; root Author: Yusuke Yamaguchi [aut, cre], Kentaro Takeda [aut] Maintainer: Yusuke Yamaguchi Repository: https://cran.r-universe.dev Date/Publication: 2025-10-26 19:20:02 UTC RemoteUrl: https://github.com/cran/boinet RemoteRef: HEAD RemoteSha: d28e0e4732e32db4a8d4bbcb655f03a5c7acf3b4