<?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>Wild Bootstrap Size Diagnostics</dc:title>
  <dc:title>R package wbsd version 1.0.1</dc:title>
  <dc:description>Implements the diagnostic "theta" developed in Poetscher and Preinerstorfer (2020) "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?" &lt;doi:10.48550/arXiv.2005.04089&gt;, which appeared as &lt;doi:10.1017/S0266466622000184&gt; in Econometric Theory , Volume 39 , Issue 4 , August 2023 , pp. 789 - 847. The diagnostic "theta" can be used to detect and weed out bootstrap-based procedures that provably have size equal to one for a given testing problem. The implementation covers a large variety of bootstrap-based procedures, cf. the above mentioned article for details. A function for computing bootstrap p-values is provided.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: methods, stats, Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen</dc:relation>
  <dc:creator>David Preinerstorfer &lt;david.preinerstorfer@wu.ac.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>David Preinerstorfer [aut, cre]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-05-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=wbsd</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.wbsd</dc:identifier>
</oai_dc:dc>