Docovt: Distributed Online Covariance Matrix Tests

Distributed Online Covariance Matrix Tests 'Docovt' 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) <doi:10.1016/j.physa.2024.130308>.

Getting started

Package details

AuthorGuangbao Guo [aut, cre] (ORCID: <https://orcid.org/0000-0002-4115-6218>), Congfan Zhang [aut]
MaintainerGuangbao Guo <ggb11111111@163.com>
LicenseMIT + file LICENSE
Version0.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("Docovt")

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Docovt documentation built on June 30, 2025, 9:07 a.m.