<?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>Semiparametric Spatial Filtering with Eigenvectors in
(Generalized) Linear Models</dc:title>
  <dc:title>R package spfilteR version 2.2.0</dc:title>
  <dc:description>Tools to decompose (transformed) spatial connectivity matrices and perform supervised or unsupervised semiparametric spatial filtering in a regression framework. The package supports unsupervised spatial filtering in standard linear as well as some generalized linear regression models.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: testthat, knitr, rmarkdown</dc:relation>
  <dc:creator>Sebastian Juhl &lt;sebastian.juhl@t-online.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Sebastian Juhl [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-7123-5398&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-01-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=spfilteR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.spfilteR</dc:identifier>
</oai_dc:dc>
