Skip to content

boinet

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

v1.5.0 · Oct 26, 2025 · MIT + file LICENSE

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.

Downloads

343

Last 30 days

11254th

817

Last 90 days

3.2K

Last year

Trend: +34% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Iso mfp copula gt tibble shiny shinydashboard DT plotly ggplot2 rhandsontable shinyBS boinet

Version History

new 1.5.0 Mar 10, 2026
updated 1.5.0 ← 1.4.0 diff Oct 25, 2025
updated 1.4.0 ← 1.3.0 diff Jun 25, 2025
updated 1.3.0 ← 1.2.0 diff Jun 9, 2025
updated 1.2.0 ← 1.1.0 diff Jun 4, 2025
updated 1.1.0 ← 1.0.0 diff Aug 23, 2024
updated 1.0.0 ← 0.0.3 diff Jun 8, 2023
new 0.0.3 May 29, 2023