<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Designs for Computer Experimentations</dc:title>
  <dc:title>R package CompExpDes version 1.0.9</dc:title>
  <dc:description>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) &lt;DOI:10.1080/00401706.1979.10489755&gt; and Fang (1980) &lt;https://cir.nii.ac.jp/crid/1570291225616774784&gt;. 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. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Suggests: HadamardR</dc:relation>
  <dc:creator>Ashutosh Dalal &lt;ashutosh.dalal97@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ashutosh Dalal [aut, cre],
  Cini Varghese [aut, ctb],
  Rajender Parsad [aut, ctb],
  Mohd Harun [aut, ctb]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-09-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CompExpDes</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CompExpDes</dc:identifier>
</oai_dc:dc>