<?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>Statistical Analysis for Environmental Data</dc:title>
  <dc:title>R package StatDA version 1.7.11</dc:title>
  <dc:subject>CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection)</dc:subject>
  <dc:description>Statistical analysis methods for environmental data are implemented. There is a particular focus on robust methods, and on methods for compositional data. In addition, larger data sets from geochemistry are provided. The statistical methods are described in Reimann, Filzmoser, Garrett, Dutter (2008, ISBN:978-0-470-98581-6).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10), methods, sgeostat</dc:relation>
  <dc:relation>Imports: cluster, e1071, MASS, MBA, mgcv, rgl, robustbase, xtable, sp,
geoR</dc:relation>
  <dc:relation>Suggests: mclust</dc:relation>
  <dc:creator>Peter Filzmoser &lt;Peter.Filzmoser@tuwien.ac.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Peter Filzmoser [aut, cre, cph]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2023-06-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=StatDA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.StatDA</dc:identifier>
</oai_dc:dc>
