March 13, 2021 Software Open Access

Coyle, Jeremy

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  <identifier identifierType="DOI">10.5281/zenodo.4603359</identifier>
  <creators>
    <creator>
      <creatorName>Coyle, Jeremy</creatorName>
      <givenName>Jeremy</givenName>
      <familyName>Coyle</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9874-6649</nameIdentifier>
      <affiliation>University of California, Berkeley</affiliation>
    </creator>
  </creators>
  <titles>
    <title>tmle3: The Extensible TMLE Framework</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>targeted learning</subject>
    <subject>causal machine learning</subject>
    <subject>causal inference</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ProjectMember">
      <contributorName>Hejazi, Nima</contributorName>
      <givenName>Nima</givenName>
      <familyName>Hejazi</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7127-2789</nameIdentifier>
      <affiliation>University of California Berkeley</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Issued">2021-03-13</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4603359</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4603358</relatedIdentifier>
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  <version>v0.2.0</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/GPL-3.0">GNU General Public License v3.0 only</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The tmle3 R package provides A general framework supporting the implementation of targeted maximum likelihood estimators (TMLEs) of a diverse range of statistical target parameters through a unified interface. The goal is that the exposed framework be as general as the mathematical framework upon which it draws.&lt;/p&gt;</description>
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