ICAOD swMATH ID: 16271 Software Authors: Ehsan Masoudi, Heinz Holling, Weng Kee Wong Description: R package ICAOD. 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) <<a href=”http://dx.doi.org/10.1016/j.csda.2016.06.014”>doi:10.1016/j.csda.2016.06.014</a>>. Homepage: https://cran.r-project.org/web/packages/ICAOD/index.html Source Code: https://github.com/cran/ICAOD Dependencies: R Keywords: CRAN; R package; Imperialist Competitive Algorithm for Optimal Designs; D-optimal Related Software: R; designGLMM; lhs; Rcpp; RcppArmadillo; OptimalDesign; LDOD; PopED; AlgDesign; acebayes; Cubature; LLTM; GAMS; DCUHRE Cited in: 1 Publication Cited by 4 Authors 1 Duarte, Belmiro P. M. 1 Holling, Heinz 1 Masoudi, Ehsan 1 Wong, Wengkee Cited in 1 Serial 1 Journal of Computational and Graphical Statistics Cited in 1 Field 1 Statistics (62-XX) Citations by Year