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Contains different algorithms and construction methods for optimal Latin hypercube designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating maximin distance LHDs, maximum projection LHDs, and orthogonal and nearly orthogonal LHDs. Detailed comparisons and summary of all the algorithms and construction methods in this package can be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021) <doi:10.48550/arXiv.2010.09154>. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.
Version: | 1.4.0 |
Imports: | stats, numbers, utils |
Suggests: | testthat, knitr, rmarkdown, devtools |
Published: | 2024-09-10 |
DOI: | 10.32614/CRAN.package.LHD |
Author: | Hongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut] |
Maintainer: | Hongzhi Wang <wanghongzhi.ut at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | LHD results |
Reference manual: | LHD.pdf |
Vignettes: |
Vignette for Package LHD (source, R code) |
Package source: | LHD_1.4.0.tar.gz |
Windows binaries: | r-devel: LHD_1.4.0.zip, r-release: LHD_1.4.0.zip, r-oldrel: LHD_1.4.0.zip |
macOS binaries: | r-release (arm64): LHD_1.4.0.tgz, r-oldrel (arm64): LHD_1.4.0.tgz, r-release (x86_64): LHD_1.4.0.tgz, r-oldrel (x86_64): LHD_1.4.0.tgz |
Old sources: | LHD archive |
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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.