Learn R Programming

Docovt (version 0.2)

Distributed Online Covariance Matrix Tests

Description

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) .

Copy Link

Version

Install

install.packages('Docovt')

Monthly Downloads

158

Version

0.2

License

MIT + file LICENSE

Maintainer

Guangbao Guo

Last Published

June 30th, 2025

Functions in Docovt (0.2)

LC

Two-Sample Covariance Test by Li and Chen (2012)
CLX

Two-Sample Covariance Test by Cai, Liu and Xia (2013)
cm13

One-Sample Covariance Test by Cai and Ma (2013)
PEF

Two-Sample Covariance Test by Yu, Li and Xue (2022)
syk

One-Sample Covariance Test by Srivastava, Yanagihara, and Kubokawa (2014)
PECO

Two-Sample Covariance Test by Yu, Li, Xue and Li(2022)
PEC

Two-Sample Covariance Test by Yu, Li and Xue (2022)
cmtwo

Two-Sample Covariance Test by Cai and Ma (2013)