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BOP2FE  

Bayesian Optimal Phase II Design with Futility and Efficacy Stopping Boundaries
View on CRAN: Click here


Download and install BOP2FE package within the R console
Install from CRAN:
install.packages("BOP2FE")

Install from Github:
library("remotes")
install_github("cran/BOP2FE")

Install by package version:
library("remotes")
install_version("BOP2FE", "1.0.3")



Attach the package and use:
library("BOP2FE")
Maintained by
Belay Birlie Yimer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-29
Latest Update: 2025-09-29
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>.
How to cite:
Belay Birlie Yimer (2025). BOP2FE: Bayesian Optimal Phase II Design with Futility and Efficacy Stopping Boundaries. R package version 1.0.3, https://cran.r-project.org/web/packages/BOP2FE. Accessed 24 Oct. 2026.
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Complete documentation for BOP2FE
Functions, R codes and Examples using the BOP2FE R package
Full BOP2FE package functions and examples
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