Package: LHD 1.4.1

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) <doi:10.48550/arXiv.2010.09154>. This package is particularly useful in the area of Design and Analysis of Experiments (DAE). More specifically, design of computer experiments.

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

LHD_1.4.1.tar.gz
LHD_1.4.1.zip(r-4.5)LHD_1.4.1.zip(r-4.4)LHD_1.4.1.zip(r-4.3)
LHD_1.4.1.tgz(r-4.5-any)LHD_1.4.1.tgz(r-4.4-any)LHD_1.4.1.tgz(r-4.3-any)
LHD_1.4.1.tar.gz(r-4.5-noble)LHD_1.4.1.tar.gz(r-4.4-noble)
LHD_1.4.1.tgz(r-4.4-emscripten)LHD_1.4.1.tgz(r-4.3-emscripten)
LHD.pdf |LHD.html
LHD/json (API)
NEWS

# Install 'LHD' in R:
install.packages('LHD', repos = c('https://whzsdhr.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 1 stars 6 scripts 483 downloads 22 exports 1 dependencies

Last updated 1 months agofrom:4909b2e23d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 14 2025
R-4.5-winOKMar 14 2025
R-4.5-macOKMar 14 2025
R-4.5-linuxOKMar 14 2025
R-4.4-winOKMar 14 2025
R-4.4-macOKMar 14 2025
R-4.4-linuxOKMar 14 2025
R-4.3-winOKMar 14 2025
R-4.3-macOKMar 14 2025

Exports:AvgAbsCordijexchangeFastMmLHDGAGLPLaPSOMaxAbsCorMaxProCriterionOA2LHDOASAOLHD.B2001OLHD.C2007OLHD.L2009OLHD.S2010OLHD.Y1998phi_prLHDSASA2008SLHDWT

Dependencies:numbers

Vignette for Package LHD

Rendered fromVignette_for_LHD.Rmdusingknitr::rmarkdownon Mar 14 2025.

Last update: 2020-11-18
Started: 2019-10-07