<?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>Logistic Regression with Misclassification in Dependent
Variables</dc:title>
  <dc:title>R package logistic4p version 1.6</dc:title>
  <dc:description>Error in a binary dependent variable, also known as misclassification, has not drawn much attention in psychology. Ignoring misclassification in logistic regression can result in misleading parameter estimates and statistical inference. This package conducts logistic regression analysis with misspecification in outcome variables. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10), MASS</dc:relation>
  <dc:creator>Zhiyong Zhang &lt;johnnyzhz@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Haiyan Liu and Zhiyong Zhang</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2023-10-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=logistic4p</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.logistic4p</dc:identifier>
</oai_dc:dc>