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BOP2FE

Bayesian Optimal Phase II Design with Futility and Efficacy Stopping Boundaries

v1.0.3 · Sep 29, 2025 · MIT + file LICENSE

Description

Bayesian optimal design with futility and efficacy stopping boundaries (BOP2-FE) is a novel statistical framework for single-arm Phase II clinical trials. It enables early termination for efficacy when interim data are promising, while explicitly controlling Type I and Type II error rates. The design supports a variety of endpoint structures, including single binary endpoints, nested endpoints, co-primary endpoints, and joint monitoring of efficacy and toxicity. The package provides tools for enumerating stopping boundaries prior to trial initiation and for conducting simulation studies to evaluate the design’s operating characteristics. Users can flexibly specify design parameters to suit their specific applications. For methodological details, refer to Xu et al. (2025) <doi:10.1080/10543406.2025.2558142>.

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Check History

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

Reverse Dependencies (1)

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Dependency Network

Dependencies Reverse dependencies gridExtra patchwork ggplot2 bfboinet BOP2FE

Version History

1 tracked
new 1.0.3 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Sep 29, 2025. Releases before tracking aren’t shown.