# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "wbsd" in publications use:'
type: software
license: GPL-2.0-only
title: 'wbsd: Wild Bootstrap Size Diagnostics'
version: 1.0.1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.wbsd
abstract: Implements the diagnostic "theta" developed in Poetscher and Preinerstorfer
  (2020) "How Reliable are Bootstrap-based Heteroskedasticity Robust Tests?" <https://doi.org/10.48550/arXiv.2005.04089>,
  which appeared as <https://doi.org/10.1017/S0266466622000184> 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.
authors:
- family-names: Preinerstorfer
  given-names: David
  email: david.preinerstorfer@wu.ac.at
preferred-citation:
  type: manual
  title: 'wbsd: Wild bootstrap size diagnostics. Version 1.0.1'
  authors:
  - name: Preinerstorfer
  - name: D.
  year: '2020'
repository: https://dprei.r-universe.dev
commit: 781e77fb040f34abc1de66b3b04a47f3dc5f3476
date-released: '2026-05-15'
contact:
- family-names: Preinerstorfer
  given-names: David
  email: david.preinerstorfer@wu.ac.at
references:
- type: article
  title: How reliable are bootstrap-based heteroskedasticity robust tests?
  authors:
  - name: P"otscher
  - name: B.M.
  - name: Preinerstorfer
  - name: D.
  journal: Econometric Theory
  year: '2023'
  volume: '39'
  doi: 10.1017/S0266466622000184
  issue: '4'
  start: 789-847