GBOP2: Generalized Bayesian Optimal Phase II Design (G-BOP2)
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.
| 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 formhttps://CRAN.R-project.org/package=GBOP2to link to this page.