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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 "Docovt" in publications use:'
type: software
license: MIT
title: 'Docovt: Distributed Online Covariance Matrix Tests'
version: '0.1'
doi: 10.32614/CRAN.package.Docovt
abstract: Distributed Online Covariance Matrix Tests is a powerful tool designed to
  efficiently process and analyze distributed datasets. It enables users to perform
  covariance matrix tests in an online, distributed manner, making it highly suitable
  for large-scale data analysis. By leveraging advanced computational techniques,
  'Docovt' ensures robust and scalable solutions for statistical analysis, particularly
  in scenarios where data is dispersed across multiple nodes or sources. This package
  is ideal for researchers and practitioners working with high-dimensional data, providing
  a flexible and efficient framework for covariance matrix estimation and hypothesis
  testing. The philosophy of 'Docovt' is described in Guo G.(2025) <https://doi.org/10.1016/j.physa.2024.130308>.
authors:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
  orcid: https://orcid.org/0000-0002-4115-6218
- family-names: Zhang
  given-names: Congfan
repository: https://guangbaog.r-universe.dev
commit: a2813e43b565fec4e99b4a451019e72eefea9205
date-released: '2025-02-23'
contact:
- family-names: Guo
  given-names: Guangbao
  email: ggb11111111@163.com
  orcid: https://orcid.org/0000-0002-4115-6218