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  "Title": "Perform Permutation Test on General Linear and Mixed Linear\nRegression",
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  "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": "2026-07-14 06:52:34 UTC",
    "User": "root"
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  "Author": "Wentao Zeng [aut, cre, cph]",
  "Maintainer": "Wentao Zeng <wentaozeng@aliyun.com>",
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  "Date/Publication": "2023-04-18 13:10:06 UTC",
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