{
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  "Package": "lmerPerm",
  "Type": "Package",
  "Title": "Perform Permutation Test on General Linear and Mixed Linear\nRegression",
  "Version": "0.1.9",
  "Authors@R": "person(given = 'Wentao',family = 'Zeng',role = c('aut','cre','cph'),email = 'wentaozeng@aliyun.com')",
  "Description": "We provide a solution for performing permutation tests on\nlinear and mixed linear regression models. It allows users to\nobtain accurate p-values without making distributional\nassumptions about the data. By generating a null distribution\nof the test statistics through repeated permutations of the\nresponse variable, permutation tests provide a powerful\nalternative to traditional parameter tests (Holt et al. (2023)\n<doi:10.1007/s10683-023-09799-6>). In this early version, we\nfocus on the permutation tests over observed t values of beta\ncoefficients, i.e.original t values generated by parameter\ntests. After generating a null distribution of the test\nstatistic through repeated permutations of the response\nvariable, each observed t values would be compared to the null\ndistribution to generate a p-value. To improve the efficiency,a\nstop criterion (Anscombe (1953)\n<doi:10.1111/j.2517-6161.1953.tb00121.x>) is adopted to force\npermutation to stop if the estimated standard deviation of the\nvalue falls below a fraction of the estimated p-value. By doing\nso, we avoid the need for massive calculations in exact\npermutation methods while still generating stable and accurate\np-values.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.2.3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-27 06:11:39 UTC",
    "User": "root"
  },
  "Author": "Wentao Zeng [aut, cre, cph]",
  "Maintainer": "Wentao Zeng <wentaozeng@aliyun.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-04-18 13:10:06 UTC",
  "RemoteUrl": "https://github.com/cran/lmerPerm",
  "RemoteRef": "HEAD",
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  "_type": "src",
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  "_published": "2026-05-27T06:14:32.790Z",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26494069362",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/lmerPerm",
  "_commit": {
    "id": "7cb2b9e6ecd10bac78efe8962daf3a53d6922407",
    "author": "Wentao Zeng <wentaozeng@aliyun.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.9\n",
    "time": 1681823406
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  "_maintainer": {
    "name": "Wentao Zeng",
    "email": "wentaozeng@aliyun.com"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "lmerTest",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lmerPerm"
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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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    "lmerp",
    "permute_fun",
    "s1",
    "s2"
  ],
  "_help": [
    {
      "page": "lmerp",
      "title": "This function is used for permutation test for general and mixed linear regression",
      "topics": [
        "lmerp"
      ]
    },
    {
      "page": "permute_fun",
      "title": "This function defines the permutation strategry",
      "topics": [
        "permute_fun"
      ]
    },
    {
      "page": "s1",
      "title": "Return t values of general linear model",
      "topics": [
        "s1"
      ]
    },
    {
      "page": "s2",
      "title": "Estimate t values of mixed linear model",
      "topics": [
        "s2"
      ]
    }
  ],
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  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "lmerperm",
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