LHD: Latin Hypercube Designs (LHDs) Algorithms

Contains different algorithms for efficient Latin Hypercube Designs (LHDs) with flexible sizes. Our package is comprehensive since it is capable of generating nearly orthogonal LHDs, maximin distance LHDs, and maximum projection LHDs. Documentation for each algorithm includes useful information and explanation along with corresponding references. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.

Version: 1.1.0
Imports: stats
Suggests: testthat, knitr, rmarkdown, devtools
Published: 2020-06-02
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


Reference manual: LHD.pdf
Vignettes: Vignette for LHD
Package source: LHD_1.1.0.tar.gz
Windows binaries: r-devel: LHD_1.1.0.zip, r-release: LHD_1.1.0.zip, r-oldrel: LHD_1.1.0.zip
macOS binaries: r-release: LHD_1.1.0.tgz, r-oldrel: LHD_1.1.0.tgz
Old sources: LHD archive


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