{
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  "Package": "LPRelevance",
  "Type": "Package",
  "Title": "Relevance-Integrated Statistical Inference Engine",
  "Version": "3.3",
  "Date": "2022-05-17",
  "Author": "Subhadeep Mukhopadhyay, Kaijun Wang",
  "Maintainer": "Kaijun Wang <kaijunwang.19@gmail.com>",
  "Description": "Provide methods to perform customized inference at\nindividual level by taking contextual covariates into account.\nThree main functions are provided in this package: (i) LASER():\nit generates specially-designed artificial relevant samples for\na given case; (ii) g2l.proc(): computes customized fdr(z|x);\nand (iii) rEB.proc(): performs empirical Bayes inference based\non LASERs. The details can be found in Mukhopadhyay, S., and\nWang, K (2021, <arXiv:2004.09588>).",
  "License": "GPL-2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-27 14:31:27 UTC",
    "User": "root"
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  "Repository": "https://cranhaven.r-universe.dev",
  "Date/Publication": "2026-05-27 05:02:00 UTC",
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    "description": "Ph.D. in Statistics, currently working on graph-based high-dimensional nonparametric statistics. ",
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      "date": "2019-08-05"
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  "_help": [
    {
      "page": "LPRelevance-package",
      "title": "Relevance-Integrated Statistical Inference Engine",
      "topics": [
        "LPRelevance-package",
        "eLP.poly",
        "eLP.poly.predict",
        "eLP.univar",
        "LP.smooth",
        "LPcden",
        "LPregression",
        "LPRelevance",
        "Predict.LP.poly"
      ]
    },
    {
      "page": "data.dti",
      "title": "DTI data.",
      "topics": [
        "data.dti"
      ]
    },
    {
      "page": "funnel",
      "title": "A stylized simulated example.",
      "topics": [
        "funnel"
      ]
    },
    {
      "page": "g2l.proc",
      "title": "Procedures for global and local inference.",
      "topics": [
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        "g2l.infer",
        "g2l.infer.boot",
        "g2l.proc",
        "getNullProb",
        "get_bh_threshold"
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    {
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      "topics": [
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    },
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      "title": "Generates Artificial RELevance Samples.",
      "topics": [
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        "LASER",
        "z.lp.center"
      ]
    },
    {
      "page": "rEB.Finite.Bayes",
      "title": "Relevance-Integrated Finite Bayes.",
      "topics": [
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      ]
    },
    {
      "page": "rEB.proc",
      "title": "Relevance-Integrated Empirical Bayes Inference",
      "topics": [
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        "rEB.proc"
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