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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".
| Version: | 2.1-1 |
| Published: | 2015-01-28 |
| Author: | Shan Ba |
| Maintainer: | Shan Ba <shanbatr at gmail.com> |
| License: | LGPL-2.1 |
| NeedsCompilation: | yes |
| In views: | ExperimentalDesign |
| CRAN checks: | SLHD results |
| Reference manual: | SLHD.pdf |
| Package source: | SLHD_2.1-1.tar.gz |
| Windows binaries: | r-devel: SLHD_2.1-1.zip, r-release: SLHD_2.1-1.zip, r-oldrel: SLHD_2.1-1.zip |
| macOS binaries: | r-release (arm64): SLHD_2.1-1.tgz, r-oldrel (arm64): SLHD_2.1-1.tgz, r-release (x86_64): SLHD_2.1-1.tgz, r-oldrel (x86_64): SLHD_2.1-1.tgz |
| Old sources: | SLHD archive |
| Reverse imports: | MOFAT |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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