<?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>Methods for Accessing Huge Amounts of Data [deprecated]</dc:title>
  <dc:title>R package R.huge version 0.10.1</dc:title>
  <dc:description>DEPRECATED. Do not start building new projects based on this package. Cross-platform alternatives are the following packages: bigmemory (CRAN), ff (CRAN), BufferedMatrix (Bioconductor).  The main usage of it was inside the aroma.affymetrix package. (The package currently provides a class representing a matrix where the actual data is stored in a binary format on the local file system.  This way the size limit of the data is set by the file system and not the memory.)</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10.0)</dc:relation>
  <dc:relation>Imports: R.methodsS3 (&gt;= 1.7.0), R.oo (&gt;= 1.23.0), R.utils (&gt;= 1.34.0)</dc:relation>
  <dc:creator>Henrik Bengtsson &lt;henrikb@braju.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Henrik Bengtsson [aut, cre, cph]</dc:contributor>
  <dc:rights>LGPL (&gt;= 2.1)</dc:rights>
  <dc:date>2024-01-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=R.huge</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.R.huge</dc:identifier>
</oai_dc:dc>