LHD: Latin Hypercube Designs (LHDs)

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

Documentation:

Reference manual:	LHD.pdf
Vignettes:	Vignette for Package LHD (source, R code)

Downloads:

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

Linking:

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