CompExpDes: Computer Experiment Designs

In computer experiments space-filling designs are having great impact. Most popularly used space-filling designs are Uniform designs (UDs), Latin hypercube designs (LHDs) etc. For further references one can see Mckay (1979) <doi:10.1080/00401706.1979.10489755> and Fang (1980) <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have provided algorithms for generate efficient LHDs and UDs. Here, generated LHDs are efficient as they possess lower value of Maxpro measure, Phi_p value and Maximum Absolute Correlation (MAC) value. On the other hand, the produced UDs are having good space-filling property as they attained the lower bound of Discrete Discrepancy measure.

Version:	1.0.0
Published:	2024-03-28
Author:	Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
Maintainer:	Ashutosh Dalal <ashutosh.dalal97 at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	CompExpDes results

Documentation:

Reference manual:

CompExpDes.pdf

Downloads:

Package source:	CompExpDes_1.0.0.tar.gz
Windows binaries:	r-devel: CompExpDes_1.0.0.zip, r-release: CompExpDes_1.0.0.zip, r-oldrel: CompExpDes_1.0.0.zip
macOS binaries:	r-release (arm64): CompExpDes_1.0.0.tgz, r-oldrel (arm64): CompExpDes_1.0.0.tgz, r-release (x86_64): CompExpDes_1.0.0.tgz, r-oldrel (x86_64): CompExpDes_1.0.0.tgz

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