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SLHD  

Maximin-Distance (Sliced) Latin Hypercube Designs
View on CRAN: Click here


Download and install SLHD package within the R console
Install from CRAN:
install.packages("SLHD")

Install from Github:
library("remotes")
install_github("cran/SLHD")

Install by package version:
library("remotes")
install_version("SLHD", "2.1-1")



Attach the package and use:
library("SLHD")
Maintained by
Shan Ba
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-19
Latest Update: 2015-01-28
Description:
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".
How to cite:
Shan Ba (2013). SLHD: Maximin-Distance (Sliced) Latin Hypercube Designs. R package version 2.1-1, https://cran.r-project.org/web/packages/SLHD. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0-3 (2013-03-19 21:22), 1.2-1 (2013-05-14 17:51)
Other packages that cited SLHD R package
View SLHD citation profile
Other R packages that SLHD depends, imports, suggests or enhances
Complete documentation for SLHD
Functions, R codes and Examples using the SLHD R package
Some associated functions: SLHD-package . maximinSLHD . 
Some associated R codes: maximinSLHD.R .  Full SLHD package functions and examples
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