CovCorTest: Statistical Tests for Covariance and Correlation Matrices and their Structures

A compilation of tests for hypotheses regarding covariance and correlation matrices for one or more groups. The hypothesis can be specified through a corresponding hypothesis matrix and a vector or by choosing one of the basic hypotheses, while for the structure test, only the latter works. Thereby Monte-Carlo and Bootstrap-techniques are used, and the respective method must be chosen, and the functions provide p-values and mostly also estimators of calculated covariance matrices of test statistics. For more details on the methodology, see Sattler et al. (2022) <doi:10.1016/j.jspi.2021.12.001>, Sattler and Pauly (2024) <doi:10.1007/s11749-023-00906-6>, and Sattler and Dobler (2025) <doi:10.48550/arXiv.2310.11799>.

Getting started

Package details

AuthorPaavo Sattler [aut] (ORCID: <https://orcid.org/0000-0001-8731-0893>), Svenja Jedhoff [cre, aut] (ORCID: <https://orcid.org/0009-0008-2939-9103>), Markus Pauly [ctb] (ORCID: <https://orcid.org/0000-0002-0976-7190>), Arne C Bathke [ctb] (ORCID: <https://orcid.org/0000-0002-6260-3726>), Dennis Dobler [ctb] (ORCID: <https://orcid.org/0000-0002-9040-0854>)
MaintainerSvenja Jedhoff <jedhoff@statistik.tu-dortmund.de>
LicenseGPL (>= 3)
Version1.0.0
URL https://github.com/sjedhoff/CovCorTest
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CovCorTest")

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CovCorTest documentation built on June 8, 2025, 11:50 a.m.