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r-slhd

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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".

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-slhd

Usage Tracking

2.1_1
1 / 8 versions selected
Total downloads: 0

About

Summary

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".

Information Last Updated

Apr 22, 2025 at 15:32

License

LGPL-2.1

Total Downloads

3

Platforms

Linux 64 Version: 2.1_1
macOS 64 Version: 2.1_1
Win 64 Version: 2.1_1