Package: MOLHD 0.2

MOLHD: Multiple Objective Latin Hypercube Design

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>.

Authors:Ruizhe Hou , Lu Lu

MOLHD_0.2.tar.gz
MOLHD_0.2.zip(r-4.5)MOLHD_0.2.zip(r-4.4)MOLHD_0.2.zip(r-4.3)
MOLHD_0.2.tgz(r-4.4-any)MOLHD_0.2.tgz(r-4.3-any)
MOLHD_0.2.tar.gz(r-4.5-noble)MOLHD_0.2.tar.gz(r-4.4-noble)
MOLHD_0.2.tgz(r-4.4-emscripten)MOLHD_0.2.tgz(r-4.3-emscripten)
MOLHD.pdf |MOLHD.html✨
MOLHD/json (API)

Peer review:

Bug tracker:https://github.com/hrz123/molhd/issues

On CRAN:

14 exports 0.62 score 9 dependencies 14 scripts 139 downloads

Last updated 5 years agofrom:5e356fd51f. Checks:OK: 7. Indexed: yes.

Exports:cpf2cpf3LHDmdmiMmiMLHDMmMmLHDmpmpLHDpfMmpfMppfMpmpfpm

Dependencies:arrangementsdotCall64fieldsgmpmapsR6RcppspamviridisLite