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  "Title": "Various Linear Mixed Model Analyses",
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  "Author": "Jixiang Wu",
  "Maintainer": "Jixiang Wu <jixiang.wu@sdstate.edu>",
  "Description": "This package offers three important components: (1) to\nconstruct a use-defined linear mixed model, (2) to employ one\nof linear mixed model approaches: minimum norm quadratic\nunbiased estimation (MINQUE) (Rao, 1971) for variance component\nestimation and random effect prediction; and (3) to employ a\njackknife resampling technique to conduct various statistical\ntests. In addition, this package provides the function for\nmodel or data evaluations.This R package offers fast\ncomputations for large data sets analyses for various irregular\ndata structures.",
  "License": "GPL-3",
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    "User": "root"
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  "Repository": "https://jacks306.r-universe.dev",
  "Date/Publication": "2019-12-19 21:00:06 UTC",
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      "page": "mq-package",
      "title": "Various Linear Mixed Model Analyses",
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        "minque"
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    {
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      "title": "Twenty four cotton genotypes with four agronomic traits",
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      "page": "lmm",
      "title": "An R function for linear mixed model analysis.",
      "topics": [
        "lmm"
      ]
    },
    {
      "page": "lmm.check",
      "title": "An R function to obtain information from a linear mixed model",
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    },
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      "page": "lmm.jack",
      "title": "An R function for linear mixed model analysis",
      "topics": [
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      ]
    },
    {
      "page": "lmm.perm",
      "title": "An R function for linear mixed model analysis and permutation test",
      "topics": [
        "lmm.perm"
      ]
    },
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      "title": "An R function for linear mixed model simulation.",
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      "title": "An R function for linear mixed model simulation.",
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