<?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>Modelling Heterogeneity in Paired Comparison Data</dc:title>
  <dc:title>R package BTLLasso version 0.1-14</dc:title>
  <dc:subject>CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:description>Performs 'BTLLasso' as described by Schauberger and Tutz (2019) &lt;doi:10.18637/jss.v088.i09&gt; and Schauberger and Tutz (2017) &lt;doi:10.1177/1471082X17693086&gt;. BTLLasso is a method to include different types of variables in paired comparison models and, therefore, to allow for heterogeneity between subjects. Variables can be subject-specific, object-specific and subject-object-specific and can have an influence on the attractiveness/strength of the objects. Suitable L1 penalty terms are used to cluster certain effects and to reduce the complexity of the models.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: Matrix, parallel</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.11.3), stringr, psychotools</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:creator>Gunther Schauberger &lt;gunther.schauberger@tum.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Gunther Schauberger [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-07-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BTLLasso</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BTLLasso</dc:identifier>
</oai_dc:dc>