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. Documentations for all the algorithms and construction methods include informative 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.


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Reference manual

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install.packages("LHD")

1.3.1 by Hongzhi Wang, 4 months ago


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


Authors: Hongzhi Wang , Qian Xiao , Abhyuday Mandal


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports stats, numbers

Suggests testthat, knitr, rmarkdown, devtools


See at CRAN