<?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>Semiparametric Bayesian Density Estimation</dc:title>
  <dc:title>R package sbde version 1.0-2</dc:title>
  <dc:description>Offers Bayesian semiparametric density estimation 
             and tail-index estimation for heavy tailed data, by
             using a parametric, tail-respecting transformation
             of the data to the unit interval and then modeling
             the transformed data with a purely nonparametric
             logistic Gaussian process density prior. Based on 
             Tokdar et al. (2022) &lt;doi:10.1080/01621459.2022.2104727&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.6)</dc:relation>
  <dc:relation>Imports: coda, extremefit</dc:relation>
  <dc:creator>Surya Tokdar &lt;surya.tokdar@duke.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Surya Tokdar [aut, cre]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2025-09-24</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sbde</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sbde</dc:identifier>
</oai_dc:dc>
