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  "Package": "seqICP",
  "Title": "Sequential Invariant Causal Prediction",
  "Version": "1.1",
  "Author": "Niklas Pfister and Jonas Peters",
  "Maintainer": "Niklas Pfister <pfister@stat.math.ethz.ch>",
  "Description": "Contains an implementation of invariant causal prediction\nfor sequential data. The main function in the package is\n'seqICP', which performs linear sequential invariant causal\nprediction and has guaranteed type I error control. For\nnon-linear dependencies the package also contains a non-linear\nmethod 'seqICPnl', which allows to input any regression\nprocedure and performs tests based on a permutation approach\nthat is only approximately correct. In order to test whether an\nindividual set S is invariant the package contains the\nsubroutines 'seqICP.s' and 'seqICPnl.s' corresponding to the\nrespective main methods.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "6.0.1",
  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2017-07-25 13:54:20 UTC",
  "RemoteUrl": "https://github.com/cran/seqICP",
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    "author": "Niklas Pfister <pfister@stat.math.ethz.ch>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.1\n",
    "time": 1500990860
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    "email": "pfister@stat.math.ethz.ch"
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  "_dependencies": [
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      "version": ">= 3.2.3",
      "role": "Depends"
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    {
      "package": "dHSIC",
      "role": "Imports"
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    {
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  "_userbio": {
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    "name": "cran",
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/seqICP"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "manual.pdf"
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    "seqICP.s",
    "seqICPnl",
    "seqICPnl.s"
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      "title": "Sequential Invariant Causal Prediction",
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        "seqICP_package"
      ]
    },
    {
      "page": "seqICP",
      "title": "Sequential Invariant Causal Prediction",
      "topics": [
        "seqICP"
      ]
    },
    {
      "page": "seqICP.s",
      "title": "Sequential Invariant Causal Prediction for an individual set S",
      "topics": [
        "seqICP.s"
      ]
    },
    {
      "page": "seqICPnl",
      "title": "Non-linear Invariant Causal Prediction",
      "topics": [
        "seqICPnl"
      ]
    },
    {
      "page": "seqICPnl.s",
      "title": "Non-linear Invariant Causal Prediction for an individual set S",
      "topics": [
        "seqICPnl.s"
      ]
    },
    {
      "page": "summary.seqICP",
      "title": "summary function",
      "topics": [
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      ]
    },
    {
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      "title": "summary function",
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