Package: Docovt 0.1

Docovt: Distributed Online Covariance Matrix Tests

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) <doi:10.1016/j.physa.2024.130308>.

Authors:Guangbao Guo [aut, cre], Congfan Zhang [aut]

Docovt_0.1.tar.gz
Docovt_0.1.zip(r-4.5)Docovt_0.1.zip(r-4.4)Docovt_0.1.zip(r-4.3)
Docovt_0.1.tgz(r-4.5-any)Docovt_0.1.tgz(r-4.4-any)Docovt_0.1.tgz(r-4.3-any)
Docovt_0.1.tar.gz(r-4.5-noble)Docovt_0.1.tar.gz(r-4.4-noble)
Docovt_0.1.tgz(r-4.4-emscripten)Docovt_0.1.tgz(r-4.3-emscripten)
Docovt.pdf |Docovt.html
Docovt/json (API)

# Install 'Docovt' in R:
install.packages('Docovt', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 3 exports 0 dependencies

Last updated 14 days agofrom:a2813e43b5. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winOKFeb 28 2025
R-4.5-macOKFeb 28 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKFeb 28 2025
R-4.4-macOKFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:cm13cmtwosyk

Dependencies: