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) . This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.


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Reference manual

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install.packages("LHD")

1.3.3 by Hongzhi Wang, 2 months ago


Browse source code at https://github.com/cran/LHD


Authors: Hongzhi Wang [aut, cre] , Qian Xiao [aut] , Abhyuday Mandal [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, numbers, utils

Suggests testthat, knitr, rmarkdown, devtools


Imported by LA.


See at CRAN