Package: LHD 1.3.3

Hongzhi Wang

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.

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

LHD_1.3.3.tar.gz
LHD_1.3.3.tar.gz(r-4.5-noble)LHD_1.3.3.tar.gz(r-4.4-noble)
LHD_1.3.3.tgz(r-4.4-emscripten)LHD_1.3.3.tgz(r-4.3-emscripten)
LHD.pdf |LHD.html
LHD/json (API)

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

Peer review:

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

22 exports 1 stars 0.00 score 1 dependencies 5 scripts 335 downloads

Last updated 3 years agofrom:96f54a334f. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-linuxNOTEAug 21 2024

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

Dependencies:numbers

Vignette for Package LHD

Rendered fromVignette_for_LHD.Rmdusingknitr::rmarkdownon Aug 21 2024.

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