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  "Title": "U-Statistic Permutation Tests of Independence for all Data Types",
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  "Author": "Thomas B. Berrett <tom.berrett@warwick.ac.uk> [aut,cre],\nIoannis Kontoyiannis <yiannis@maths.cam.ac.uk> [aut], Richard\nJ. Samworth <r.samworth@statslab.cam.ac.uk> [aut]",
  "Maintainer": "Thomas B. Berrett <tom.berrett@warwick.ac.uk>",
  "Description": "Implements various independence tests for discrete,\ncontinuous, and infinite-dimensional data. The tests are based\non a U-statistic permutation test, the USP of Berrett,\nKontoyiannis and Samworth (2020) <arXiv:2001.05513>, and shown\nto be minimax rate optimal in a wide range of settings. As the\npermutation principle is used, all tests have exact,\nnon-asymptotic Type I error control at the nominal level.",
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    "User": "root"
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  "Date/Publication": "2021-01-27 08:30:21 UTC",
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      "title": "Calculate coefficients of a function's series expansion",
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      "page": "DiscStat",
      "title": "Test statistic for dependence in contingency table",
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      "topics": [
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      "title": "Kernel matrix for Fourier basis",
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      "title": "Kernel entries in infinite dimensional case",
      "topics": [
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      "page": "USP",
      "title": "Permutation test of independence.",
      "topics": [
        "USP"
      ]
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      "title": "Independence test for continuous data",
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      "title": "Adaptive permutation test of independence for continuous data.",
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    },
    {
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      "title": "Independence test for functional data",
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