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GBOP2  

Generalized Bayesian Optimal Phase II Design (G-BOP2)
View on CRAN: Click here


Download and install GBOP2 package within the R console
Install from CRAN:
install.packages("GBOP2")

Install from Github:
library("remotes")
install_github("cran/GBOP2")

Install by package version:
library("remotes")
install_version("GBOP2", "0.1.3")



Attach the package and use:
library("GBOP2")
Maintained by
Wanni Lei
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-04-22
Latest Update: 2025-04-22
Description:
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.
How to cite:
Wanni Lei (2025). GBOP2: Generalized Bayesian Optimal Phase II Design (G-BOP2). R package version 0.1.3, https://cran.r-project.org/web/packages/GBOP2. Accessed 08 May. 2025.
Previous versions and publish date:
0.1.2 (2025-04-09 12:20)
Other packages that cited GBOP2 R package
View GBOP2 citation profile
Other R packages that GBOP2 depends, imports, suggests or enhances
Complete documentation for GBOP2
Functions, R codes and Examples using the GBOP2 R package
Full GBOP2 package functions and examples
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