DiscrimFedWynn: Hybrid Algorithm of PSO and L-BFGS for Finding Optimal...

In PingYangChen/DiscrimOD: DiscrimOD: Finding Optimal Discrimination Designs by Hybridizing Particle Swarm and L-BFGS Algorithms

Hybrid Algorithm of PSO and L-BFGS for Finding Optimal Discrimination Design

Description

Implement the hybridized PSO algorithm to find the optimal discrimination designs for 2 or more than 2 competing models

Usage

DiscrimFedWynn(
  MODEL_INFO,
  DISTANCE,
  dsLower,
  dsUpper,
  FED_INFO = NULL,
  LBFGS_INFO = NULL,
  seed = NULL,
  verbose = TRUE,
  environment,
  ...
)

References

Atkinson, A. C. and Fedorov, V. V. (1975a). The design of experiments for discriminating between two rival models. Biometrika, 62(1):57-70.

Lopez-Fidalgo, J., Tommasi, C., and Trandafir, P. C. (2007). An optimal experimental design criterion for discriminating between non-normal models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69(2):231-242.

PingYangChen/DiscrimOD documentation built on June 10, 2025, 11:32 p.m.