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# CITATION.cff 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 "ReguGLH" in publications use:'
type: software
license: GPL-3.0-only
title: 'ReguGLH: General Linear Hypothesis Tests via Spectral Shrinkage'
version: 0.1.0
doi: 10.3150/19-BEJ1186
abstract: Implements high-dimensional general linear hypothesis tests using ridge,
  reciprocal cubic polynomial, and user-defined analytic spectral regularizers. Provides
  prior-based shrinkage selection and Gaussian maximum calibration for composite tests.
  Implements the methods of Li, Aue and Paul (2020), "High-dimensional general linear
  hypothesis tests via non-linear spectral shrinkage", Bernoulli, 26(4), 2541-2571
  <https://doi.org/10.3150/19-BEJ1186>.
authors:
- family-names: Li
  given-names: Haoran
  email: hzl0152@auburn.edu
preferred-citation:
  type: article
  title: High-dimensional general linear hypothesis tests via non-linear spectral
    shrinkage
  authors:
  - family-names: Li
    given-names: Haoran
    email: hzl0152@auburn.edu
  - family-names: Aue
    given-names: Alexander
  - family-names: Paul
    given-names: Debashis
  journal: Bernoulli
  year: '2020'
  volume: '26'
  issue: '4'
  doi: 10.3150/19-BEJ1186
  url: https://doi.org/10.3150/19-BEJ1186
  start: '2541'
  end: '2571'
repository: https://cran.r-universe.dev
commit: 6931c866a5d44264d87d90ea43175253e00583f6
date-released: '2026-10-27'
contact:
- family-names: Li
  given-names: Haoran
  email: hzl0152@auburn.edu