<?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>Draws Overview of Outliers (O3) Plots</dc:title>
  <dc:title>R package OutliersO3 version 0.6.3</dc:title>
  <dc:subject>CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection)</dc:subject>
  <dc:description>Potential outliers are identified for all combinations of a dataset's variables. O3 plots are described in Unwin(2019) &lt;doi:10.1080/10618600.2019.1575226&gt;. The available methods are HDoutliers() from the package 'HDoutliers', FastPCS() from the package 'FastPCS', mvBACON() from 'robustX', adjOutlyingness() from 'robustbase', DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.3.0)</dc:relation>
  <dc:relation>Imports: stats, utils, grDevices, rlist, ggplot2, dplyr, tidyr,
forcats, HDoutliers, robustbase, robustX, FastPCS, cellWise (&gt;=
2.1.0), GGally, memisc</dc:relation>
  <dc:relation>Suggests: knitr, gridExtra, rmarkdown, languageR</dc:relation>
  <dc:creator>Antony Unwin &lt;unwin@math.uni-augsburg.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Antony Unwin</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2020-04-25</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=OutliersO3</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.OutliersO3</dc:identifier>
</oai_dc:dc>
