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 |
| 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 |
Documentation:
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