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  "Authors@R": "c(\nperson(\"Eunseop\", \"Kim\", , \"markean@pm.me\", role = c(\"aut\", \"cph\", \"cre\")),\nperson(\"Steven\", \"MacEachern\", role = c(\"ctb\", \"ths\")),\nperson(\"Mario\", \"Peruggia\", role = c(\"ctb\", \"ths\")),\nperson(\"Pierre\", \"Chausse\", role = \"rev\"),\nperson(\"Alex\", \"Stringer\", role = \"rev\")\n)",
  "Description": "Performs multiple empirical likelihood tests. It offers an\neasy-to-use interface and flexibility in specifying hypotheses\nand calibration methods, extending the framework to\nsimultaneous inferences.  The core computational routines are\nimplemented using the 'Eigen' 'C++' library and 'RcppEigen'\ninterface, with 'OpenMP' for parallel computation.  Details of\nthe testing procedures are provided in Kim, MacEachern, and\nPeruggia (2023) <doi:10.1080/10485252.2023.2206919>. A\ncompanion paper by Kim, MacEachern, and Peruggia (2024)\n<doi:10.18637/jss.v108.i05> is available for further\ninformation. This work was supported by the U.S. National\nScience Foundation under Grants No. SES-1921523 and\nDMS-2015552.",
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        "CEL-class"
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        "chisq,EL-method",
        "chisq,ELMT-method",
        "chisq,ELT-method",
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        "coef,SummaryEL-method",
        "coef,SummaryLM-method"
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        "EL-class"
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      "title": "Empirical likelihood test",
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      "page": "logL",
      "title": "Empirical log-likelihood",
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        "logL,EL-method",
        "logL,ELT-method",
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        "logL,SummaryELT-method",
        "logL,SummaryLM-method"
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        "logLR,EL-method",
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        "logProb,ELT-method"
      ]
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        "nobs,SummaryLM-method"
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        "plot,ELD-method"
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        "print,ELT-method",
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        "pVal,SummaryEL-method",
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      "title": "SD class",
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      "topics": [
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        "sigTests,LM-method"
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        "summary,GLM-method",
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