<?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>Korean National Assembly Data for Political Science Education</dc:title>
  <dc:title>R package assemblykor version 0.1.1</dc:title>
  <dc:description>Provides ready-to-use datasets from the Korean National Assembly
    (assemblies 20 through 22, 2016-2026) for teaching quantitative methods in
    political science. Includes legislator metadata, bill proposals, roll call
    votes, asset declarations, and policy seminar records. Designed as a Korean
    politics counterpart to packages like 'palmerpenguins', enabling students to
    practice regression, panel data analysis, text analysis, and network analysis
    with real legislative data. Roll call vote data and spatial voting models are
    described in Poole and Rosenthal (1985) &lt;doi:10.2307/2111172&gt;. Legislative
    data is sourced from the Korean National Assembly Open API.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: utils</dc:relation>
  <dc:relation>Suggests: arrow, broom, dplyr, fixest, ggplot2, htmltools, igraph,
knitr, learnr, pkgdown, rmarkdown, scales, stringr,
systemfonts, testthat (&gt;= 3.0.0), tidyr, tidytext</dc:relation>
  <dc:creator>Kyusik Yang &lt;kyusik.yang@nyu.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kyusik Yang [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=assemblykor/LICENSE)</dc:rights>
  <dc:date>2026-04-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=assemblykor</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.assemblykor</dc:identifier>
</oai_dc:dc>
