{
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  "Package": "BeSS",
  "Type": "Package",
  "Title": "Best Subset Selection in Linear, Logistic and CoxPH Models",
  "Version": "2.0.4",
  "Date": "2024-01-10",
  "Authors@R": "c(\nperson(given = \"Canhong\", family = \"Wen\", email = \"wencanhong@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(given = \"Aijun\", family = \"Zhang\", email = \"ajzhang@hku.hk\", role = c(\"aut\")),\nperson(given = \"Shijie\", family = \"Quan\", email = \"329773935@qq.com\", role = c(\"aut\")),\nperson(given = \"Xueqin\", family = \"Wang\", email = \"wangxq20@ustc.edu.cn\", role = c(\"aut\")))",
  "Author": "Canhong Wen [aut, cre], Aijun Zhang [aut], Shijie Quan [aut],\nXueqin Wang [aut]",
  "Maintainer": "Canhong Wen <wencanhong@gmail.com>",
  "Description": "An implementation of best subset selection in generalized\nlinear model and Cox proportional hazard model via the primal\ndual active set algorithm proposed by Wen, C., Zhang, A., Quan,\nS. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The\nalgorithm formulates coefficient parameters and residuals as\nprimal and dual variables and utilizes efficient active set\nselection strategies based on the complementarity of the primal\nand dual variables.",
  "License": "GPL-3",
  "NeedsCompilation": "yes",
  "Packaged": {
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    "User": "root"
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  "Date/Publication": "2024-01-12 02:39:48 UTC",
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    "extra/citation.html",
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      ],
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      "table": false,
      "tojson": true
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      "object": "prostate",
      "file": "prostate.RData",
      "class": [
        "data.frame"
      ],
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        "lweight",
        "age",
        "lbph",
        "svi",
        "lcp",
        "gleason",
        "pgg45",
        "lpsa"
      ],
      "rows": 97,
      "table": true,
      "tojson": true
    },
    {
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      "object": "SAheart",
      "file": "SAheart.RData",
      "class": [
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      ],
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        "tobacco",
        "ldl",
        "adiposity",
        "famhist",
        "typea",
        "obesity",
        "alcohol",
        "age",
        "chd"
      ],
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      "table": true,
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    }
  ],
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      "title": "Extract the IC from a \"bess\" object.",
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        "bic",
        "ebic"
      ]
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    {
      "page": "bess",
      "title": "Best subset selection",
      "topics": [
        "bess"
      ]
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    {
      "page": "bess.one",
      "title": "Best subset selection with a specified model size",
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        "bess.one"
      ]
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      "title": "Provides estimated coefficients from a fitted \"bess\" object.",
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      ]
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      ]
    },
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      "title": "Extract the deviance from a \"bess\" object.",
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