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:
SLHD_2.1-1.tar.gz
SLHD_2.1-1.zip(r-4.5)SLHD_2.1-1.zip(r-4.4)SLHD_2.1-1.zip(r-4.3)
SLHD_2.1-1.tgz(r-4.4-x86_64)SLHD_2.1-1.tgz(r-4.4-arm64)SLHD_2.1-1.tgz(r-4.3-x86_64)SLHD_2.1-1.tgz(r-4.3-arm64)
SLHD_2.1-1.tar.gz(r-4.5-noble)SLHD_2.1-1.tar.gz(r-4.4-noble)
SLHD_2.1-1.tgz(r-4.4-emscripten)SLHD_2.1-1.tgz(r-4.3-emscripten)
SLHD.pdf |SLHD.html✨
SLHD/json (API)
| # Install 'SLHD' in R: |
| install.packages('SLHD', repos = c('https://shanbatr.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 10 years agofrom:545bd4c2cb. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 07 2024 |
| R-4.5-win-x86_64 | OK | Nov 07 2024 |
| R-4.5-linux-x86_64 | OK | Nov 07 2024 |
| R-4.4-win-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-x86_64 | OK | Nov 07 2024 |
| R-4.4-mac-aarch64 | OK | Nov 07 2024 |
| R-4.3-win-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-x86_64 | OK | Nov 07 2024 |
| R-4.3-mac-aarch64 | OK | Nov 07 2024 |
Exports:maximinSLHD
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Sliced Latin hypercube design | SLHD-package SLHD |
| Maximin-Distance (Sliced) Latin Hypercube Designs | maximinSLHD |
