Other packages > Find by keyword >

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", "0.1.4")



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 0.1.4, https://cran.r-project.org/web/packages/GBOP2. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.1.2 (2025-04-09 12:20), 0.1.3 (2025-04-22 17:50), (2026-07-09 08:04)
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
OOBCurve  
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure tha ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA