<?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>An Implementation of the Bridge Distribution with Logit-Link as
in Wang and Louis (2003)</dc:title>
  <dc:title>R package bridgedist version 0.1.3</dc:title>
  <dc:subject>CRAN Task View: Distributions (https://CRAN.R-project.org/view=Distributions)</dc:subject>
  <dc:description>An implementation of the bridge distribution with logit-link in
    R. In Wang and Louis (2003) &lt;DOI:10.1093/biomet/90.4.765&gt;, such a univariate
    bridge distribution was derived as the distribution of the random intercept that
    'bridged' a marginal logistic regression and a conditional logistic regression.
    The conditional and marginal regression coefficients are a scalar multiple
    of each other. Such is not the case if the random intercept distribution was
    Gaussian.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0)</dc:relation>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, reshape2, ggplot2, testthat</dc:relation>
  <dc:creator>Bruce Swihart &lt;bruce.swihart@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Bruce Swihart [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-10-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=bridgedist</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.bridgedist</dc:identifier>
</oai_dc:dc>
