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 non-normal 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 L-BFGS 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.
|Author||Ping-Yang Chen [aut, cre]|
|Maintainer||Ping-Yang Chen <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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