<?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>A Tool for the Correlates of State Policy Project Data</dc:title>
  <dc:title>R package cspp version 0.3.3</dc:title>
  <dc:description>A tool that imports, subsets, visualizes, and exports the Correlates of State Policy Project dataset assembled by Marty P. Jordan and Matt Grossmann (2020) &lt;http://ippsr.msu.edu/public-policy/correlates-state-policy&gt;. The Correlates data contains over 2000 variables across more than 100 years that pertain to state politics and policy in the United States. Users with only a basic understanding of R can subset this data across multiple dimensions, export their search results, create map visualizations, export the citations associated with their searches, and more.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10), dplyr(&gt;= 1.0.0)</dc:relation>
  <dc:relation>Imports: stringr, readr, tidyselect, ggplot2, mapproj, rlang, haven,
purrr, csppData, ggcorrplot</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat, ggraph, igraph</dc:relation>
  <dc:creator>Caleb Lucas &lt;calebjlucas@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Caleb Lucas (https://caleblucas.com/) and Joshua McCrain (http://joshuamccrain.com/)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-12-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cspp</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cspp</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
