<?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>Regression Models of Pearson Correlation Coefficient</dc:title>
  <dc:title>R package regcorr version 0.1.0</dc:title>
  <dc:description>Provides statistical tools for evaluating how covariates
    influence the strength of Pearson correlation coefficients between
    two response variables. Supports bivariate normal and bivariate
    binary responses, with likelihood-based inference and bootstrap-based
    significance testing. The methodology is based on Dufera, Liu and Xu
    (2023) "Regression models of Pearson correlation coefficient"
    &lt;doi:10.1080/24754269.2023.2164970&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Ze Lin &lt;zlin5858@163.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ze Lin [aut, cre],
  Bo Li [aut],
  Jinyao Shen [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=regcorr/LICENSE)</dc:rights>
  <dc:date>2026-06-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=regcorr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.regcorr</dc:identifier>
</oai_dc:dc>
