<?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>Langa-Weir Classification of Cognitive Function for 2022 HRS
Data</dc:title>
  <dc:title>R package lwc2022 version 1.0.1</dc:title>
  <dc:description>Generates the Langa-Weir classification of cognitive function for
    the 2022 Health and Retirement Study (HRS) cognition data. It is
    particularly useful for researchers studying cognitive aging who wish to
    work with the most recent release of HRS data. The package provides
    user-friendly functions for data preprocessing, scoring, and classification
    allowing users to easily apply the Langa-Weir classification system.
    For details regarding the;
    HRS &lt;https://hrsdata.isr.umich.edu/&gt; and
    Langa-Weir classifications &lt;https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2022&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: dplyr</dc:relation>
  <dc:relation>Suggests: knitr</dc:relation>
  <dc:creator>Cormac Monaghan &lt;cormacmonaghan@protonmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Cormac Monaghan [cph, aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-9012-3060&gt;),
  Rafael de Andrade Moral [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-0875-3563&gt;),
  Joanna McHugh Power [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-7387-3107&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=lwc2022/LICENSE)</dc:rights>
  <dc:date>2026-07-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=lwc2022</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.lwc2022</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
