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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) <doi:10.48550/arXiv.2010.09154>.
| Version: | 2.2 |
| Imports: | Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown, devtools |
| Published: | 2022-10-26 |
| Author: | Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut] |
| Maintainer: | Hongzhi Wang <wanghongzhi.ut at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | LA results |
| Reference manual: | LA.pdf |
| Package source: | LA_2.2.tar.gz |
| Windows binaries: | r-devel: LA_2.2.zip, r-release: LA_2.2.zip, r-oldrel: LA_2.2.zip |
| macOS binaries: | r-release (arm64): LA_2.2.tgz, r-oldrel (arm64): LA_2.2.tgz, r-release (x86_64): LA_2.2.tgz, r-oldrel (x86_64): LA_2.2.tgz |
| Old sources: | LA archive |
Please use the canonical form https://CRAN.R-project.org/package=LA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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