ICAOD: Optimal Designs for Nonlinear Statistical Models by Imperialist Competitive Algorithm (ICA)

Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.

Version: 1.0.1
Depends: R (≥ 3.1.3)
Imports: Rcpp, nloptr, stats, utils, graphics, grDevices, cubature, sn, mnormt, methods, mvQuad
LinkingTo: Rcpp, RcppEigen
Suggests: rgl, lattice, R.rsp
Published: 2020-10-11
DOI: 10.32614/CRAN.package.ICAOD
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut], Seongho Kim [ctb]
Maintainer: Ehsan Masoudi <esn_mud at yahoo.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Language: en-US
In views: ExperimentalDesign
CRAN checks: ICAOD results


Reference manual: ICAOD.pdf


Package source: ICAOD_1.0.1.tar.gz
Windows binaries: r-devel: ICAOD_1.0.1.zip, r-release: ICAOD_1.0.1.zip, r-oldrel: ICAOD_1.0.1.zip
macOS binaries: r-release (arm64): ICAOD_1.0.1.tgz, r-oldrel (arm64): ICAOD_1.0.1.tgz, r-release (x86_64): ICAOD_1.0.1.tgz, r-oldrel (x86_64): ICAOD_1.0.1.tgz
Old sources: ICAOD archive


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