{
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  "Package": "CovCorTest",
  "Title": "Statistical Tests for Covariance and Correlation Matrices and\ntheir Structures",
  "Version": "1.1.0",
  "Authors@R": "c(\nperson(\"Paavo\", \"Sattler\", , \"paavo.sattler@tu-dortmund.de\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-8731-0893\")),\nperson(\"Svenja\", \"Jedhoff\", , \"jedhoff@statistik.tu-dortmund.de\", role = c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0009-0008-2939-9103\")),\nperson(\"Markus\", \"Pauly\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-0976-7190\")),\nperson(\"Arne C\", \"Bathke\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-6260-3726\")),\nperson(\"Dennis\", \"Dobler\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-9040-0854\")))",
  "Maintainer": "Svenja Jedhoff <jedhoff@statistik.tu-dortmund.de>",
  "Description": "A compilation of tests for hypotheses regarding covariance\nand correlation matrices for one or more groups. The hypothesis\ncan be specified through a corresponding hypothesis matrix and\na vector or by choosing one of the basic hypotheses, while for\nthe structure test, only the latter works. Thereby Monte-Carlo\nand Bootstrap-techniques are used, and the respective method\nmust be chosen, and the functions provide p-values and mostly\nalso estimators of calculated covariance matrices of test\nstatistics. For more details on the methodology, see Sattler et\nal. (2022) <doi:10.1016/j.jspi.2021.12.001>, Sattler and Pauly\n(2024) <doi:10.1007/s11749-023-00906-6>, and Sattler and Dobler\n(2025) <doi:10.48550/arXiv.2310.11799>.",
  "License": "GPL (>= 3)",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "URL": "https://github.com/sjedhoff/CovCorTest",
  "BugReports": "https://github.com/sjedhoff/CovCorTest/issues",
  "Repository": "https://sjedhoff.r-universe.dev",
  "Date/Publication": "2025-10-17 12:10:41 UTC",
  "RemoteUrl": "https://github.com/sjedhoff/covcortest",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-16 08:22:09 UTC",
    "User": "root"
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  "Author": "Paavo Sattler [aut] (ORCID: <https://orcid.org/0000-0001-8731-0893>),\nSvenja Jedhoff [cre, aut] (ORCID:\n<https://orcid.org/0009-0008-2939-9103>),\nMarkus Pauly [ctb] (ORCID: <https://orcid.org/0000-0002-0976-7190>),\nArne C Bathke [ctb] (ORCID: <https://orcid.org/0000-0002-6260-3726>),\nDennis Dobler [ctb] (ORCID: <https://orcid.org/0000-0002-9040-0854>)",
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  "_created": "2026-05-16T08:22:09.000Z",
  "_published": "2026-06-02T18:18:13.248Z",
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    "author": "Svenja Jedhoff <jedhoff@statistik.tu-dortmund.de>",
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    "message": "Adding new function \"get_hypothesis\"\n",
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    "extra/citation.html",
    "extra/citation.json",
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    "CovTest",
    "get_hypothesis",
    "test_combined",
    "test_correlation",
    "test_correlation_structure",
    "test_covariance",
    "test_covariance_structure"
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    {
      "page": "get_extended_matrix",
      "title": "Extend a matrix to full rank using identity columns",
      "topics": [
        "get_extended_matrix"
      ]
    },
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      "page": "get_hypothesis",
      "title": "Construct hypothesis matrix and vector from linear covariance model structure",
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        "get_hypothesis"
      ]
    },
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      "page": "print.CombTest",
      "title": "Print function for CombTest object",
      "topics": [
        "print.CombTest"
      ]
    },
    {
      "page": "print.CovTest",
      "title": "Print function for CovTest object",
      "topics": [
        "print.CovTest"
      ]
    },
    {
      "page": "test_combined",
      "title": "Combined test for equality of covariance matrices and correlation matrices",
      "topics": [
        "test_combined"
      ]
    },
    {
      "page": "test_correlation",
      "title": "Test for Correlation Matrices",
      "topics": [
        "test_correlation"
      ]
    },
    {
      "page": "test_correlation_structure",
      "title": "Test for structure of data's correlation matrix",
      "topics": [
        "test_correlation_structure"
      ]
    },
    {
      "page": "test_covariance",
      "title": "Test for Covariance Matrices",
      "topics": [
        "test_covariance"
      ]
    },
    {
      "page": "test_covariance_structure",
      "title": "Test for structure of data's covariance matrix",
      "topics": [
        "test_covariance_structure"
      ]
    }
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