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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
Downloads (Last 6 months): 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".

Last Updated

Dec 4, 2019 at 15:44

License

LGPL-2.1

Total Downloads

3

Version Downloads

3

Supported Platforms

linux-64
macOS-64
win-64