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# 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 "hrt" in publications use:'
type: software
license: GPL-2.0-only
title: 'hrt: Heteroskedasticity Robust Testing'
version: 1.0.2
identifiers:
- type: doi
  value: 10.32614/CRAN.package.hrt
abstract: 'Functions for testing affine hypotheses on the regression coefficient vector
  in regression models with heteroskedastic errors: (i) a function for computing various
  test statistics (in particular using HC0-HC4 covariance estimators based on unrestricted
  or restricted residuals); (ii) a function for numerically approximating the size
  of a test based on such test statistics and a user-supplied critical value; and,
  most importantly, (iii) a function for determining size-controlling critical values
  for such test statistics and a user-supplied significance level (also incorporating
  a check of conditions under which such a size-controlling critical value exists).
  The three functions are based on results in Poetscher and Preinerstorfer (2021)
  "Valid Heteroskedasticity Robust Testing" <https://doi.org/10.48550/arXiv.2104.12597>,
  which will appear as <https://doi.org/10.1017/S0266466623000269>.'
authors:
- family-names: Preinerstorfer
  given-names: David
  email: david.preinerstorfer@wu.ac.at
preferred-citation:
  type: manual
  title: 'hrt: Heteroskedasticity Robust Testing'
  authors:
  - family-names: Preinerstorfer
    given-names: David
    email: david.preinerstorfer@wu.ac.at
  year: '2025'
  notes: R package version 1.0.2
repository: https://dprei.r-universe.dev
commit: 629735305f602f2e9bc52668a7bf6c51ab5b5cc2
date-released: '2025-04-14'
contact:
- family-names: Preinerstorfer
  given-names: David
  email: david.preinerstorfer@wu.ac.at
references:
- type: article
  title: Valid heteroskedasticity robust testing
  authors:
  - name: P"otscher
  - family-names: M.
    given-names: Benedikt
  - name: Preinerstorfer
  - name: David
  doi: 10.1017/S0266466623000269
  journal: Econometric Theory, forthcoming
  year: '2021'