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<datacite:identifier identifierType="URL">https://phaidra.vetmeduni.ac.at/o:4507</datacite:identifier>

  
<datacite:titles>
  
<datacite:title xml:lang="en">Box-Cox-transformation for various classes of (generalized) linear (mixed effects) models : Version 1.0 (2025-11)</datacite:title>

  
</datacite:titles>

  
<datacite:creators>
  
<datacite:creator>
  
<datacite:creatorName nameType="Personal">Vetter-Lang, Sebastian G.</datacite:creatorName>

  
<datacite:givenName>Sebastian G.</datacite:givenName>

  
<datacite:familyName>Vetter-Lang</datacite:familyName>

  
<datacite:nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0001-5374-5872</datacite:nameIdentifier>

  
<datacite:affiliation>University of Veterinary Medicine Vienna</datacite:affiliation>

  
</datacite:creator>

  
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<dc:language>eng</dc:language>

  
<dc:description xml:lang="de">Das R-Skript enthält eine Funktion, die über einen definierten Bereich an Lambda-Werten, in Abhängigkeit der Daten, entweder bcPower- oder yiPower-Transformationen der abhängigen Variable in unterschiedlichen Klassen von linearen Modellen durchführt (einschließlich generalisierter und gemischter linearer Modelle der Klassen lm, glm, gls, lme, lmerMod, glmerMod und negbin), den optimalen Lambda-Wert identifiziert und die mit diesem Wert transformierte anhängige Variable des Modells ausgibt.</dc:description>

  
<dc:description xml:lang="en">The R-script contains a function that performs, depending on the data, either bcPower- or yiPower-transformations of the dependent variable over a set range of lambda values in various classes of linear models (i.e., including generalized and mixed effects models of the classes  lm, glm, gls, lme, lmerMod, glmerMod, and negbin), identifies the optimal lambda value for transformation and returns the accordingly transformed dependent variable.</dc:description>

  
<datacite:subjects>
  
<datacite:subject xml:lang="de">boxcox</datacite:subject>

  
<datacite:subject xml:lang="de">transformation</datacite:subject>

  
<datacite:subject xml:lang="de">generalized mixed effects models</datacite:subject>

  
<datacite:subject xml:lang="de">mixed models</datacite:subject>

  
<datacite:subject xml:lang="de">linear models</datacite:subject>

  
<datacite:subject xml:lang="de">generalized models</datacite:subject>

  
<datacite:subject xml:lang="de">data transformation</datacite:subject>

  
<datacite:subject xml:lang="de">statistical analysis</datacite:subject>

  
<datacite:subject xml:lang="de">R</datacite:subject>

  
<datacite:subject xml:lang="de">Box-Cox</datacite:subject>

  
</datacite:subjects>

  
<licenseCondition uri="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</licenseCondition>

  
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<datacite:alternateIdentifiers>
  
<datacite:alternateIdentifier alternateIdentifierType="DOI">10.34876/ht1a-2a78</datacite:alternateIdentifier>

  
</datacite:alternateIdentifiers>

  
<datacite:relatedIdentifiers>
  
<datacite:relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://phaidra.vetmeduni.ac.at/o:606</datacite:relatedIdentifier>

  
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<datacite:dates>
  
<datacite:date dateType="Issued">2025-11-06</datacite:date>

  
</datacite:dates>

  
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