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Rekyt/funrar: funrar 1.2.1

Matthias Grenié; pierredenelle; cmtucker


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  <identifier identifierType="DOI">10.5281/zenodo.1175854</identifier>
  <creators>
    <creator>
      <creatorName>Matthias Grenié</creatorName>
      <affiliation></affiliation>
    </creator>
    <creator>
      <creatorName>pierredenelle</creatorName>
      <affiliation></affiliation>
    </creator>
    <creator>
      <creatorName>cmtucker</creatorName>
      <affiliation></affiliation>
    </creator>
  </creators>
  <titles>
    <title>Rekyt/funrar: funrar 1.2.1</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-02-19</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1175854</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/Rekyt/funrar/tree/v1.2.1</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.596011</relatedIdentifier>
  </relatedIdentifiers>
  <version>v1.2.1</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;ul&gt;
&lt;li&gt;Add Authors' ORCID and all contributors;&lt;/li&gt;
&lt;li&gt;funrar paper is now included in DESCRIPTION, README.md and has a proper CITATIONq file;&lt;/li&gt;
&lt;li&gt;Fix typos in documentation;&lt;/li&gt;
&lt;li&gt;Transformation from tidy data.frame to sparse matrix is now possible using &lt;code&gt;stack_to_matrix(x, sparse = TRUE)&lt;/code&gt; (#25);&lt;/li&gt;
&lt;li&gt;Add a warning message when using only continuous traits with function &lt;code&gt;comput_dist_matrix()&lt;/code&gt;, as it defaults to Gower's distance (#27);&lt;/li&gt;
&lt;li&gt;Specification in help that functional distances need to be scaled between 0 and 1 prior to distinctiveness computation (#26).&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
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