Generate the optimal maximin distance, minimax distance (only for low dimensions), and maximum projection designs within the class of Latin hypercube designs efficiently for computer experiments. Generate Pareto front optimal designs for each two of the three criteria and all the three criteria within the class of Latin hypercube designs efficiently. Provide criterion computing functions. References of this package can be found in Morris, M. D. and Mitchell, T. J. (1995) <doi:10.1016/0378-3758(94)00035-T>, Lu Lu and Christine M. Anderson-CookTimothy J. Robinson (2011) <doi:10.1198/Tech.2011.10087>, Joseph, V. R., Gul, E., and Ba, S. (2015) <doi:10.1093/biomet/asv002>.
| Version: | 0.1 |
| Depends: | R (≥ 3.0.0) |
| Imports: | fields, iterpc |
| Published: | 2017-11-08 |
| Author: | Ruizhe Hou , Lu Lu |
| Maintainer: | Ruizhe Hou <houruizhe1210 at gmail.com> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| NeedsCompilation: | yes |
| CRAN checks: | MOLHD results |
| Reference manual: | MOLHD.pdf |
| Package source: | MOLHD_0.1.tar.gz |
| Windows binaries: | r-devel: MOLHD_0.1.zip, r-release: MOLHD_0.1.zip, r-oldrel: MOLHD_0.1.zip |
| OS X El Capitan binaries: | r-release: MOLHD_0.1.tgz |
| OS X Mavericks binaries: | r-oldrel: MOLHD_0.1.tgz |
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