SLHD: Maximin-Distance (Sliced) Latin Hypercube Designs

Generate the optimal Latin Hypercube Designs (LHDs) for computer experiments with quantitative factors and the optimal Sliced Latin Hypercube Designs (SLHDs) for computer experiments with both quantitative and qualitative factors. Details of the algorithm can be found in Ba, S., Brenneman, W. A. and Myers, W. R. (2015), "Optimal Sliced Latin Hypercube Designs," Technometrics. Important function in this package is "maximinSLHD".

Version:	2.1-1
Published:	2015-01-28
DOI:	10.32614/CRAN.package.SLHD
Author:	Shan Ba
Maintainer:	Shan Ba <shanbatr at gmail.com>
License:	LGPL-2.1
NeedsCompilation:	yes
In views:	ExperimentalDesign
CRAN checks:	SLHD results

Documentation:

Reference manual:

SLHD.pdf

Downloads:

Package source:	SLHD_2.1-1.tar.gz
Windows binaries:	r-devel: SLHD_2.1-1.zip, r-release: SLHD_2.1-1.zip, r-oldrel: SLHD_2.1-1.zip
macOS binaries:	r-release (arm64): SLHD_2.1-1.tgz, r-oldrel (arm64): SLHD_2.1-1.tgz, r-release (x86_64): SLHD_2.1-1.tgz, r-oldrel (x86_64): SLHD_2.1-1.tgz
Old sources:	SLHD archive

Reverse dependencies:

Reverse imports:

MOFAT

Linking:

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