Package: LHD 1.3.3
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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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:96f54a334f. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 21 2024 |
R-4.5-linux | NOTE | Aug 21 2024 |
Exports:AvgAbsCordijexchangeFastMmLHDGAGLPLaPSOMaxAbsCorMaxProCriterionOA2LHDOASAOLHD.B2001OLHD.C2007OLHD.L2009OLHD.S2010OLHD.Y1998phi_prLHDSASA2008SLHDWT
Dependencies:numbers