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  "Package": "covsep",
  "Title": "Tests for Determining if the Covariance Structure of\n2-Dimensional Data is Separable",
  "Version": "1.1.0",
  "Authors@R": "c(person(\"Shahin\", \"Tavakoli\", email = \"s.tavakoli@warwick.ac.uk\", role = c(\"aut\", \"cre\")),\nperson(\"Davide\", \"Pigoli\", email = \"davide.pigoli@kcl.ac.uk\", role = c(\"ctb\")),\nperson(\"John\", \"Aston\", email = \"j.aston@statslab.cam.ac.uk\", role = c(\"ctb\")))",
  "Author": "Shahin Tavakoli [aut, cre], Davide Pigoli [ctb], John Aston\n[ctb]",
  "Maintainer": "Shahin Tavakoli <s.tavakoli@warwick.ac.uk>",
  "Description": "Functions for testing if the covariance structure of\n2-dimensional data (e.g. samples of surfaces X_i = X_i(s,t)) is\nseparable, i.e. if covariance(X) = C_1 x C_2. A complete\ndescriptions of the implemented tests can be found in the paper\nAston, John A. D.; Pigoli, Davide; Tavakoli, Shahin. Tests for\nseparability in nonparametric covariance operators of random\nsurfaces. Ann. Statist. 45 (2017), no. 4, 1431--1461.\n<doi:10.1214/16-AOS1495>\n<https://projecteuclid.org/euclid.aos/1498636862>\n<arXiv:1505.02023>.",
  "License": "GPL-2",
  "LazyData": "true",
  "URL": "http://arxiv.org/abs/1505.02023",
  "RoxygenNote": "6.0.1",
  "Repository": "https://stavakol.r-universe.dev",
  "Date/Publication": "2018-05-07 12:54:05 UTC",
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    "message": "modifications for version 1.1.0\n",
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      "table": true,
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        "array"
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      "rows": 7,
      "table": true,
      "tojson": true
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      "table": false,
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      "title": "A covariance matrix",
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      ]
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      "title": "A covariance matrix",
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        "C2"
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      "title": "Test for separability of covariance operators for Gaussian process.",
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      "page": "covsep",
      "title": "covsep: tests for determining if the covariance structure of 2-dimensional data is separable",
      "topics": [
        "covsep-package",
        "covsep"
      ]
    },
    {
      "page": "difference_fullcov",
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        "difference_fullcov"
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    },
    {
      "page": "empirical_bootstrap_test",
      "title": "Projection-based empirical bootstrap test for separability of covariance structure",
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    },
    {
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    },
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    },
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