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)SLHD_2.1-1.zip(r-4.6)SLHD_2.1-1.zip(r-4.5)
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✨
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

2.12 score 1 packages 22 scripts 205 downloads 2 mentions 1 exports 0 dependencies

Last updated from:545bd4c2cb. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK93
linux-devel-x86_64OK92
source / vignettesOK140
linux-release-arm64OK89
linux-release-x86_64OK93
macos-release-arm64OK71
macos-release-x86_64OK265
macos-oldrel-arm64OK94
macos-oldrel-x86_64OK155
windows-develOK72
windows-releaseOK74
windows-oldrelOK76
wasm-releaseOK80

Exports:maximinSLHD

Dependencies: