The **DiscrimOD** package adopts a hybrid algorithm to search for the optimal discrimination designs when there are two or more than two competing models under normal or nonnormal error assumption. This hybrid algorithm is chosen to efficiently solve the maximin design criteria in the optimal discrimination design problem which is usually a challenging task. It combines the particle swarm optimization (PSO) algorithm and the LBFGS algorithm to tackle the outer and inner objectives of the maximin design criterion, respectively. The equivalence theorems for various discrimination criteria are also available for verifying the optimal discrimination designs.
Package details 


Author  PingYang Chen [aut, cre] 
Maintainer  PingYang Chen <[email protected]> 
License  MIT + file LICENSE 
Version  0.1.1 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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