LHD: Latin Hypercube Designs (LHDs)

Contains different algorithms and construction methods for efficient 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) <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: 1.3.2
Imports: stats, numbers
Suggests: testthat, knitr, rmarkdown, devtools
Published: 2021-04-05
Author: Hongzhi Wang, Qian Xiao, Abhyuday Mandal
Maintainer: Hongzhi Wang <hw34508 at uga.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: LHD results

Downloads:

Reference manual: LHD.pdf
Vignettes: Vignette for Package LHD
Package source: LHD_1.3.2.tar.gz
Windows binaries: r-devel: LHD_1.3.2.zip, r-release: LHD_1.3.2.zip, r-oldrel: LHD_1.3.2.zip
macOS binaries: r-release (arm64): LHD_1.3.2.tgz, r-release (x86_64): LHD_1.3.2.tgz, r-oldrel: LHD_1.3.2.tgz
Old sources: LHD archive

Reverse dependencies:

Reverse imports: LA

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