Package: SLHD 2.1-1

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".

Authors:Shan Ba

SLHD_2.1-1.tar.gz
SLHD_2.1-1.zip(r-4.7-x86_64)SLHD_2.1-1.zip(r-4.7-arm64)SLHD_2.1-1.zip(r-4.6-x86_64)SLHD_2.1-1.zip(r-4.6-arm64)SLHD_2.1-1.zip(r-4.5-x86_64)
SLHD_2.1-1.tgz(r-4.6-x86_64)SLHD_2.1-1.tgz(r-4.6-arm64)SLHD_2.1-1.tgz(r-4.5-x86_64)SLHD_2.1-1.tgz(r-4.5-arm64)
SLHD_2.1-1.tar.gz(r-4.7-arm64)SLHD_2.1-1.tar.gz(r-4.7-x86_64)SLHD_2.1-1.tar.gz(r-4.6-arm64)SLHD_2.1-1.tar.gz(r-4.6-x86_64)
SLHD_2.1-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SLHD/json (API)

# Install 'SLHD' in R:
install.packages('SLHD', repos = c('https://shanbatr.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

1.78 score 1 stars 1 packages 4 scripts 295 downloads 2 mentions 1 exports 0 dependencies

Last updated from:545bd4c2cb. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK110
source / vignettesOK173
linux-release-arm64OK95
linux-release-x86_64OK108
macos-release-arm64OK85
macos-release-x86_64OK198
macos-oldrel-arm64OK79
macos-oldrel-x86_64OK251
windows-devel-arm64OK321
windows-devel-x86_64OK94
windows-release-arm64OK312
windows-release-x86_64OK56
windows-oldrel-x86_64OK68
wasm-releaseOK100

Exports:maximinSLHD

Dependencies: