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  "Title": "Bradley-Terry Model with Exponential Time Decayed Log-Likelihood\nand Adaptive Lasso",
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  "Authors@R": "c(person(\"Yunpeng\", \"Zhou\", email = \"u3514104@connect.hku.hk\", role = c(\"aut\",\"cre\")),\nperson(\"Jinfeng\", \"Xu\", role = \"aut\"))",
  "Description": "We utilize the Bradley-Terry Model to estimate the\nabilities of teams using paired comparison data. For dynamic\napproximation of current rankings, we employ the Exponential\nDecayed Log-likelihood function, and we also apply the Lasso\npenalty for variance reduction and grouping. The main algorithm\napplies the Augmented Lagrangian Method described by Masarotto\nand Varin (2012) <doi:10.1214/12-AOAS581>.",
  "License": "GPL (>= 2)",
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  "Repository": "https://heilokchow.r-universe.dev",
  "Date/Publication": "2023-12-07 08:51:51 UTC",
  "RemoteUrl": "https://github.com/heilokchow/btdecaylasso",
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  "Packaged": {
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    "User": "root"
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  "Author": "Yunpeng Zhou [aut, cre],\nJinfeng Xu [aut]",
  "Maintainer": "Yunpeng Zhou <u3514104@connect.hku.hk>",
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      "title": "The 2010 NFL Regular Season",
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        "data.frame"
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        "date"
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      "title": "Compute the standard deviation of Bradley-Terry decay Lasso model by bootstrapping",
      "topics": [
        "boot.BTdecayLasso"
      ]
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      "title": "Dataframe initialization",
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      "page": "BTdecay",
      "title": "Bradley-Terry Model with Exponential Decayed weighted likelihood",
      "topics": [
        "BTdecay"
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    {
      "page": "BTdecayLasso",
      "title": "Bradley-Terry Model with Exponential Decayed weighted likelihood and Adaptive Lasso",
      "topics": [
        "BTdecayLasso"
      ]
    },
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      "title": "Bradley-Terry Model with Exponential Decayed weighted likelihood and weighted Lasso with AIC or BIC criteria",
      "topics": [
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      ]
    },
    {
      "page": "BTdecayLassoF",
      "title": "Bradley-Terry Model with Exponential Decayed weighted likelihood and Adaptive Lasso with a given penalty rate",
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      ]
    },
    {
      "page": "NFL2010",
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      "topics": [
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      ]
    },
    {
      "page": "plot.swlasso",
      "title": "Plot the Lasso path",
      "topics": [
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