<?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>Inference and Clustering of Functional Data</dc:title>
  <dc:title>R package gmfd version 1.0.1</dc:title>
  <dc:description>Some methods for the inference and clustering of univariate and 
             multivariate functional data, using a generalization of Mahalanobis
             distance, along with some functions useful for the analysis of functional data.
             For further details, see Martino A., Ghiglietti, A., Ieva, F. and Paganoni A. M. (2017) &lt;arXiv:1708.00386&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.0)</dc:relation>
  <dc:relation>Imports: graphics, stats</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Andrea Martino &lt;andrea.martino@polimi.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Andrea Martino [aut, cre],
  Andrea Ghiglietti [aut],
  Francesca Ieva [aut],
  Anna Maria Paganoni [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2018-04-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gmfd</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gmfd</dc:identifier>
</oai_dc:dc>
