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MOLHD
View on CRAN: Click
here
Download and install MOLHD package within the R console
Install from CRAN:
install.packages("MOLHD")
Install from Github:
library("remotes")
install_github("cran/MOLHD")
Install by package version:
library("remotes")
install_version("MOLHD", "0.2")
Attach the package and use:
library("MOLHD")
Maintained by
Ruizhe Hou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-08
Latest Update: 2018-05-06
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) .
How to cite:
Ruizhe Hou (2017). MOLHD: Multiple Objective Latin Hypercube Design. R package version 0.2, https://cran.r-project.org/web/packages/MOLHD. Accessed 16 Apr. 2025.
Previous versions and publish date:
0.1 (2017-11-08 21:45)
Other packages that cited MOLHD R package
View MOLHD citation profile
Other R packages that MOLHD depends,
imports, suggests or enhances
Complete documentation for MOLHD
Functions, R codes and Examples using
the MOLHD R package
Some associated functions: LHD . MOLHD-package . Mm . MmLHD . cpf2 . cpf3 . md . miM . miMLHD . mp . mpLHD . pfMm . pfMp . pfMpm . pfpm .
Some associated R codes: Full MOLHD package functions and examples
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