{
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  "Package": "kcpRS",
  "Type": "Package",
  "Title": "Kernel Change Point Detection on the Running Statistics",
  "Version": "1.1.1",
  "Authors@R": "c(person(given = \"Jedelyn\",\nfamily = \"Cabrieto\",\nrole=\"aut\"),\nperson(given = \"Kristof\",\nfamily = \"Meers\",\nemail = \"kristof.meers+cran@kuleuven.be\",\nrole=c(\"aut\",\"cre\")),\nperson(given = \"Evelien\",\nfamily = \"Schat\",\nrole=\"ctb\"),\nperson(given = \"Janne\",\nfamily = \"Adolf\",\nrole=\"ctb\"),\nperson(given = \"Peter\",\nfamily = \"Kuppens\",\nrole=\"ctb\"),\nperson(given = \"Francis\",\nfamily = \"Tuerlinckx\",\nrole=\"ctb\"),\nperson(given = \"Eva\",\nfamily = \"Ceulemans\",\nrole=\"ctb\"))",
  "Maintainer": "Kristof Meers <kristof.meers+cran@kuleuven.be>",
  "Description": "The running statistics of interest is first extracted\nusing a time window which is slid across the time series, and\nin each window, the running statistics value is computed. KCP\n(Kernel Change Point) detection proposed by Arlot et al. (2012)\n<arXiv:1202.3878> is then implemented to flag the change points\non the running statistics (Cabrieto et al., 2018,\n<doi:10.1016/j.ins.2018.03.010>). Change points are located by\nminimizing a variance criterion based on the pairwise\nsimilarities between running statistics which are computed via\nthe Gaussian kernel. KCP can locate change points for a given k\nnumber of change points. To determine the optimal k, the KCP\npermutation test is first carried out by comparing the variance\nof the running statistics extracted from the original data to\nthat of permuted data. If this test is significant, then there\nis sufficient evidence for at least one change point in the\ndata. Model selection is then used to determine the optimal\nk>0.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "RoxygenNote": "7.2.3",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-18 09:35:56 UTC",
    "User": "root"
  },
  "Author": "Jedelyn Cabrieto [aut], Kristof Meers [aut, cre], Evelien Schat\n[ctb], Janne Adolf [ctb], Peter Kuppens [ctb], Francis\nTuerlinckx [ctb], Eva Ceulemans [ctb]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-10-25 14:30:44 UTC",
  "RemoteUrl": "https://github.com/cran/kcpRS",
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  "_created": "2026-05-18T09:35:56.000Z",
  "_published": "2026-06-02T16:02:11.512Z",
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  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/kcpRS",
  "_commit": {
    "id": "9fbbcb62b037c51c3c7d292b72e5bb1e4d8b63eb",
    "author": "Kristof Meers <kristof.meers+cran@kuleuven.be>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.1.1\n",
    "time": 1698244244
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  "_maintainer": {
    "name": "Kristof Meers",
    "email": "kristof.meers+cran@kuleuven.be"
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  "_owner": "cran",
  "_selfowned": false,
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  "_tags": [],
  "_stars": 0,
  "_userbio": {
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  "_downloads": {
    "count": 227,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/kcpRS"
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  "_searchresults": 9,
  "_topics": [
    "cpp"
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/kcpRS.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
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  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "date": "2019-05-06"
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      "date": "2023-01-20"
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      "version": "1.1.1",
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  "_exports": [
    "kcpRS",
    "kcpRS_workflow",
    "runAR",
    "runCorr",
    "runMean",
    "runVar"
  ],
  "_datasets": [
    {
      "name": "CO2Inhalation",
      "title": "CO2 Inhalation Data",
      "object": "CO2Inhalation",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Experimental_Phase",
        "ViVol",
        "VeVol",
        "Vent",
        "Ti",
        "Te",
        "Tt",
        "PiaAB",
        "HR",
        "RR"
      ],
      "rows": 239,
      "table": true,
      "tojson": true
    },
    {
      "name": "MentalLoad",
      "title": "Mental Load Data",
      "object": "MentalLoad",
      "class": [
        "data.frame"
      ],
      "fields": [
        "period",
        "HR",
        "RR",
        "petCO2"
      ],
      "rows": 1393,
      "table": true,
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  ],
  "_help": [
    {
      "page": "kcpRS-package",
      "title": "KCP on the running statistics",
      "topics": [
        "kcpRS-package"
      ]
    },
    {
      "page": "CO2Inhalation",
      "title": "CO2 Inhalation Data",
      "topics": [
        "CO2Inhalation"
      ]
    },
    {
      "page": "getScatterMatrix",
      "title": "Get the matrix of optimized scatters used in locating the change points.",
      "topics": [
        "getScatterMatrix"
      ]
    },
    {
      "page": "kcpa",
      "title": "KCP (Kernel Change Point) Detection",
      "topics": [
        "kcpa"
      ]
    },
    {
      "page": "kcpRS",
      "title": "KCP on the running statistics",
      "topics": [
        "kcpRS",
        "kcpRS.default",
        "plot.kcpRS",
        "print.kcpRS",
        "summary.kcpRS"
      ]
    },
    {
      "page": "kcpRS_workflow",
      "title": "KCP on the Running Statistics Workflow",
      "topics": [
        "kcpRS_workflow",
        "kcpRS_workflow.default",
        "plot.kcpRS_workflow",
        "print.kcpRS_workflow",
        "summary.kcpRS_workflow"
      ]
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    {
      "page": "MentalLoad",
      "title": "Mental Load Data",
      "topics": [
        "MentalLoad"
      ]
    },
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      "page": "permTest",
      "title": "KCP Permutation Test",
      "topics": [
        "permTest"
      ]
    },
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      "page": "runAR",
      "title": "Running Autocorrelations",
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      "page": "runCorr",
      "title": "Running Correlations",
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      "page": "runMean",
      "title": "Running Means",
      "topics": [
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