ICAOD: Optimal Designs for Nonlinear Models

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: 0.9.9
Depends: R (≥ 3.1.3)
Imports: Rcpp, nloptr, stats, graphics, grDevices, cubature, sn, mnormt, methods, mvQuad
LinkingTo: Rcpp, RcppEigen
Suggests: rgl, lattice, R.rsp
Published: 2019-04-19
Author: Ehsan Masoudi [aut, cre], Heinz Holling [aut], Weng Kee Wong [aut]
Maintainer: Ehsan Masoudi <ehsan.masoudi at wwu.de>
BugReports: https://github.com/ehsan66/ICAOD/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/ehsan66/ICAOD
NeedsCompilation: yes
Language: en-US
In views: ExperimentalDesign
CRAN checks: ICAOD results


Reference manual: ICAOD.pdf
Vignettes: R packages: Static PDF and HTML vignettes
Package source: ICAOD_0.9.9.tar.gz
Windows binaries: r-devel: ICAOD_0.9.9.zip, r-devel-gcc8: ICAOD_0.9.9.zip, r-release: ICAOD_0.9.9.zip, r-oldrel: ICAOD_0.9.9.zip
OS X binaries: r-release: ICAOD_0.9.9.tgz, r-oldrel: ICAOD_0.9.9.tgz
Old sources: ICAOD archive


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