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 StehlÃk 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.
Version: 0.1.3 Depends: R (≥ 4.1.0) Imports: tidyr, R6, Rcpp, doParallel, foreach, dplyr, stats, globpso, parallel, utils, RcppArmadillo LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0), R.rsp Published: 2025-04-22 DOI: 10.32614/CRAN.package.GBOP2 Author: Xinying Fang [aut], Wanni Lei [aut, cre], Shouhao Zhou [aut] Maintainer: Wanni Lei <wanni.lei17 at gmail.com> License: GPL-2 NeedsCompilation: yes CRAN checks: GBOP2 results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GBOP2 to link to this page.
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