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) <arXiv:2010.09154>. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.

Package details

AuthorHongzhi Wang [aut, cre], Qian Xiao [aut], Abhyuday Mandal [aut]
MaintainerHongzhi Wang <hw34508@uga.edu>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the LHD package in your browser

Any scripts or data that you put into this service are public.

LHD documentation built on Aug. 1, 2021, 1:06 a.m.