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)Docovt_0.6.zip(r-4.6)Docovt_0.6.zip(r-4.5)
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.

1.48 score 181 downloads 15 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK227
linux-release-x86_64OK152
macos-release-arm64OK149
macos-oldrel-arm64OK128
windows-develOK114
windows-releaseOK84
windows-oldrelOK79
wasm-releaseOK94

Exports:CLXcm13cmtwoDCLXDLCDPECDPECODPEFDSNETLCPECPECOPEFSNETsyk

Dependencies:latticeMatrixrbibutilsRcppRcppEigenRdpackRSpectra