init_cluster

Creates and registers a parallel backend using the specified number of cores.
Falls back to sequential execution if nCore &lt;= 1.

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.

Wanni Lei

GBOP2

Generalized Bayesian Optimal Phase II Design (G-BOP2)

Xinying Fang

Shouhao Zhou

Ping-Yang Chen

Ray-Bing Chen

Weng Kee Wong

J. Jack Lee

init_cluster function

<dl><dt>nCore</dt>
<dd>Number of cores to use (default is 2).</dd></dl>

Arguments

Initialize parallel cluster — init_cluster

<dl>

<dt>nCore</dt>
<dd>Number of cores to use (default is 2).</dd>

</dl>

init_cluster: Initialize parallel cluster

Description

Usage

Arguments