Package: Docovt 0.6

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>.

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

Docovt_0.6.tar.gz
Docovt_0.6.zip(r-4.7-any)Docovt_0.6.zip(r-4.6-any)Docovt_0.6.zip(r-4.5-any)
Docovt_0.6.tgz(r-4.6-any)Docovt_0.6.tgz(r-4.5-any)
Docovt_0.6.tar.gz(r-4.7-any)Docovt_0.6.tar.gz(r-4.6-any)
Docovt_0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
Docovt/json (API)

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

On CRAN:

Conda:

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

1.30 score 273 downloads 15 exports 7 dependencies

Last updated from:f4bc286e4e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK138
source / vignettesOK243
linux-release-x86_64OK127
macos-release-arm64OK120
macos-oldrel-arm64OK110
windows-develOK83
windows-releaseOK89
windows-oldrelOK93
wasm-releaseOK96

Exports:CLXcm13cmtwoDCLXDLCDPECDPECODPEFDSNETLCPECPECOPEFSNETsyk

Dependencies:latticeMatrixrbibutilsRcppRcppEigenRdpackRSpectra