Package: Docovt
Title: Distributed Online Covariance Matrix Tests
Date: 2026-10-20
Version: 0.6.2
Authors@R: c(person("Guangbao", "Guo",
                    role = c("aut", "cre"),
                    email = "ggb11111111@163.com",
                    comment = c(ORCID = "0000-0002-4115-6218")),
             person("Congfan", "Zhang", role = "aut"))
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) <doi:10.1016/j.physa.2024.130308>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: Rdpack, RSpectra, parallel, stats, utils
RdMacros: Rdpack
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Depends: R (>= 3.5.0)
Packaged: 2026-10-19 10:42:01 UTC; 86187
Author: Guangbao Guo [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4115-6218>),
  Congfan Zhang [aut]
Maintainer: Guangbao Guo <ggb11111111@163.com>
Repository: CRAN
Date/Publication: 2026-10-19 13:30:02 UTC
