<?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>Calibrated Gibbs Posteriors for Tolerance Intervals</dc:title>
  <dc:title>R package gibbsTI version 0.1.0</dc:title>
  <dc:description>Provides tools for constructing one-sided and two-sided
    nonparametric tolerance intervals using calibrated Gibbs posteriors.
    The methods target population quantiles and content levels while
    achieving nominal frequentist coverage through data-driven
    calibration. The methodology is described in Pourmohamad,
    Richardson, and Sansó (2026) &lt;doi:10.1080/00401706.2026.2699103&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Tony Pourmohamad &lt;tpourmohamad@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tony Pourmohamad [aut, cre],
  Robert Richardson [aut],
  Bruno Sansó [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=gibbsTI/LICENSE)</dc:rights>
  <dc:date>2026-07-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gibbsTI</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gibbsTI</dc:identifier>
</oai_dc:dc>
