Generalized Bayesian Optimal Phase II Design (G-BOP2) R package GBOP2 version 0.1.4 Provides functions for implementing the Generalized Bayesian Optimal Phase II (G-BOP2) design using various Particle Swarm Optimization (PSO) algorithms, including: - PSO-Default, based on Kennedy and Eberhart (1995) <doi:10.1109/ICNN.1995.488968>, "Particle Swarm Optimization"; - PSO-Quantum, based on Sun, Xu, and Feng (2004) <doi:10.1109/ICCIS.2004.1460396>, "A Global Search Strategy of Quantum-Behaved Particle Swarm Optimization"; - PSO-Dexp, based on Stehlík et al. (2024) <doi:10.1016/j.asoc.2024.111913>, "A Double Exponential Particle Swarm Optimization with Non-Uniform Variates as Stochastic Tuning and Guaranteed Convergence to a Global Optimum with Sample Applications to Finding Optimal Exact Designs in Biostatistics"; - and PSO-GO. Software Depends: R (>= 4.1.0) Imports: tidyr, R6, Rcpp, doParallel, foreach, dplyr, stats, globpso, parallel, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, roxygen2, testthat (>= 3.0.0), R.rsp Wanni Lei <wanni.lei17@gmail.com> Comprehensive R Archive Network (CRAN) Xinying Fang [aut], Wanni Lei [aut, cre], Shouhao Zhou [aut], Ping-Yang Chen [aut], Ray-Bing Chen [aut], Weng Kee Wong [aut], J. Jack Lee [aut] GPL-2 2025-12-22 application/tgz https://CRAN.R-project.org/package=GBOP2 doi:10.32614/CRAN.package.GBOP2