Contains Lioness Algorithm (LA) for finding optimal designs over continuous design space, optimal Latin hypercube designs, and optimal order-of-addition designs. LA is a brand new nature-inspired meta-heuristic optimization algorithm. Detailed methodologies of LA and its implementation on numerical simulations can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <arXiv:2010.09154>.
| Version: | 2.1 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, devtools |
| Published: | 2022-05-11 |
| Author: | Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut] |
| Maintainer: | Hongzhi Wang <hw34508 at uga.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | LA results |
| Reference manual: | LA.pdf |
| Package source: | LA_2.1.tar.gz |
| Windows binaries: | r-devel: LA_2.1.zip, r-release: LA_2.1.zip, r-oldrel: LA_2.1.zip |
| macOS binaries: | r-release (arm64): LA_2.1.tgz, r-oldrel (arm64): LA_2.1.tgz, r-release (x86_64): LA_2.1.tgz, r-oldrel (x86_64): LA_2.1.tgz |
| Old sources: | LA archive |
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