<?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>Multivariate Imputation by Mahalanobis Distance Optimization</dc:title>
  <dc:title>R package mimdo version 0.1.0</dc:title>
  <dc:description>Imputes missing values of an incomplete data matrix by minimizing the Mahalanobis distance of each sample from the overall mean [Labita, GJ.D. and Tubo, B.F. (2024) &lt;doi:10.24412/1932-2321-2024-278-115-123&gt;].</dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Geovert John Labita &lt;geovertjohn.labita@ustp.edu.ph&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Geovert John Labita [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-07-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=mimdo</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.mimdo</dc:identifier>
</oai_dc:dc>