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MOLHD (version 0.2)

Multiple Objective Latin Hypercube Design

Description

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) , Lu Lu and Christine M. Anderson-CookTimothy J. Robinson (2011) , Joseph, V. R., Gul, E., and Ba, S. (2015) .

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Version

Install

install.packages('MOLHD')

Monthly Downloads

204

Version

0.2

License

LGPL

Maintainer

Ruizhe Hou

Last Published

May 6th, 2018

Functions in MOLHD (0.2)

mp

Computer the MaxPro Criterion for a design.
Mm

Computer the approximate Maximin Criterion for a design.
md

Minimum distance between any two points in the design
cpf2

Combine Pareto front designs of 2 criteria
MOLHD-package

Multiple objective Latin hypercube design
miMLHD

Generate the optimal Latin Hypercube Design based on the miniMax criterion.
cpf3

Combine Pareto front designs of 3 criteria
LHD

Generate a random Latin Hypercube design
MmLHD

Generate the optimal Maximin Latin Hypercube Design.
pfMm

Generate the Pareto front for the optimal Latin Hypercube Designs based on both the Maximin and miniMax criteria.
miM

The miniMax criterion baesd on an approximate fill distance measure
pfpm

Generate the Pareto front for the optimal Latin Hypercube Designs based on both the MaxPro and miniMax criteria.
pfMp

Generate the Pareto front for optimal Latin Hypercube Designs based on both the Maximin and the MaxPro criteria.
mpLHD

Generate the optimal MaxPro Latin Hypercube Design.
pfMpm

Generate the Pareto front for the optimal Latin Hypercube Designs based on the Maximin, MaxPro and miniMax criteria.