ICAOD: Imperialist Competitive Algorithm for Optimal Designs
Version 0.9.2

Finding locally D-optimal, minimax D-optimal, standardized maximin D-optimal, optim-on-the-average and multiple objective optimal designs for nonlinear models. Different Fisher information matrices can also be set by user. There are also useful functions for verifying the optimality of the designs with respect to different criteria by equivalence theorem. ICA is a meta-heuristic evolutionary algorithm inspired from the socio-political process of humans. See Masoudi et al. (2016) .

Getting started

Package details

AuthorEhsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut]
Date of publication2017-01-09 09:49:29
MaintainerEhsan Masoudi <[email protected]>
LicenseGPL (>= 2)
URL https://github.com/ehsan66/ICAOD
Package repositoryView on CRAN
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ICAOD documentation built on May 30, 2017, 12:50 a.m.