CompExpDes: Designs for Computer Experimentations

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 based on the weightage given to each criterion. On the other hand, the produced UDs are having good space-filling property as they always attain the lower bound of Discrete Discrepancy measure. Further, some useful functions added in this package for adding more value to this package.

Getting started

Package details

AuthorAshutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb]
MaintainerAshutosh Dalal <ashutosh.dalal97@gmail.com>
LicenseGPL (>= 2)
Version1.0.8
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CompExpDes")

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CompExpDes documentation built on Aug. 8, 2025, 7:22 p.m.