<?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>Archetypoid Algorithms and Anomaly Detection</dc:title>
  <dc:title>R package adamethods version 1.2.1</dc:title>
  <dc:subject>CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection)</dc:subject>
  <dc:description>Collection of several algorithms to obtain archetypoids with small and large databases, and with both classical 
	multivariate data and functional data (univariate and multivariate). Some of these algorithms also allow to detect 
	anomalies (outliers). Please see Vinue and Epifanio (2020) &lt;doi:10.1007/s11634-020-00412-9&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.4.0)</dc:relation>
  <dc:relation>Imports: Anthropometry, archetypes, FNN, foreach, graphics, nnls,
parallel, stats, tolerance, univOutl, utils</dc:relation>
  <dc:relation>Suggests: doParallel, fda</dc:relation>
  <dc:creator>Guillermo Vinue &lt;Guillermo.Vinue@uv.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Guillermo Vinue, Irene Epifanio</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2020-08-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=adamethods</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.adamethods</dc:identifier>
</oai_dc:dc>
