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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 "RidgeLRGLH" in publications use:'
type: software
license: MIT
title: 'RidgeLRGLH: Ridge-Regularized Largest Root Tests for General Linear Hypotheses'
version: 0.1.0
doi: 10.48550/arXiv.2504.15510
abstract: Tests general linear hypotheses in high-dimensional multivariate regression
  using a ridge-regularized largest root statistic. Estimates the population spectral
  distribution by linear programming and computes Tracy-Widom centering and scaling
  constants. Supports fixed, Bayesian, and minimax regularization choices. Implements
  the methods of Li (2025) <https://doi.org/10.48550/arXiv.2504.15510>.
authors:
- family-names: Li
  given-names: Haoran
  email: hzl0152@auburn.edu
preferred-citation:
  type: article
  title: Ridge-Regularized Largest Root Test For High-Dimensional General Linear Hypotheses
  authors:
  - family-names: Li
    given-names: Haoran
    email: hzl0152@auburn.edu
  year: '2025'
  journal: arXiv preprint
  doi: 10.48550/arXiv.2504.15510
  notes: Accepted by the Annals of Statistics; update with final publication details
    when available
repository: https://cran.r-universe.dev
commit: 7fb41bcddce548353e144b8cd37b6e46cb5f4a7b
date-released: '2026-10-28'
contact:
- family-names: Li
  given-names: Haoran
  email: hzl0152@auburn.edu