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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 "regstat" in publications use:'
type: software
license: GPL-3.0-only
title: 'regstat: An Exact Test for a Change in Covariance (Dependence) Structure'
version: 0.1.0
doi: 10.32614/CRAN.package.regstat
abstract: An exact finite-sample test for whether two groups share a covariance matrix,
  the omnibus form of the differential-network question. Under the Gaussian null the
  likelihood-ratio statistic has a distribution given by the real Jacobi ensemble
  that is free of the unknown common covariance, so a single Monte-Carlo calibration
  at the identity serves every covariance with no estimate of the nuisance covariance;
  this is the property that survives the dimension barrier, where estimating the covariance
  is hardest. The max-type high-dimensional test of Cai, Liu and Xia (2013) <https://doi.org/10.1080/01621459.2012.758041>
  is provided for comparison. A pure-C back-end does the numerics and also backs the
  'Python' package 'regstat'.
authors:
- family-names: Loots
  given-names: M. Theodor
  email: theo.loots@gmail.com
  orcid: https://orcid.org/0000-0001-7722-3913
repository: https://mtloots.r-universe.dev
repository-code: https://github.com/mtloots/regstat
commit: d50ad55ca4eedcb6cda5e2148129212e2a63ee92
url: https://github.com/mtloots/regstat
date-released: '2026-09-14'
contact:
- family-names: Loots
  given-names: M. Theodor
  email: theo.loots@gmail.com
  orcid: https://orcid.org/0000-0001-7722-3913