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  "Package": "rpms",
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  "Title": "Recursive Partitioning for Modeling Survey Data",
  "Version": "0.5.1",
  "Date": "2021-06-16",
  "Authors@R": "person(\"Daniell\", \"Toth\", email=\"danielltoth@yahoo.com\",\nrole=c(\"aut\", \"cre\"))",
  "Maintainer": "Daniell Toth <danielltoth@yahoo.com>",
  "Description": "Functions to allow users to build and analyze design\nconsistent tree and random forest models using survey data from\na complex sample design.  The tree model algorithm can fit a\nlinear model to survey data in each node obtained by\nrecursively partitioning the data.  The splitting variables and\nselected splits are obtained using a randomized permutation\ntest procedure which adjusted for complex sample design\nfeatures used to obtain the data. Likewise the model fitting\nalgorithm produces design-consistent coefficients to any\nspecified least squares linear model between the dependent and\nindependent variables used in the end nodes. The main functions\nreturn the resulting binary tree or random forest as an object\nof \"rpms\" or \"rpms_forest\" type. The package also provides\nmethods modeling a \"boosted\" tree or forest model and a tree\nmodel for zero-inflated data as well as a number of functions\nand methods available for use with these object types.",
  "License": "CC0",
  "RoxygenNote": "7.1.1",
  "Encoding": "UTF-8",
  "NeedsCompilation": "yes",
  "LazyData": "true",
  "Author": "Daniell Toth [aut, cre]",
  "Packaged": {
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    "User": "root"
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  "Date/Publication": "2021-06-25 22:40:02 UTC",
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        "PSU",
        "CID",
        "QINTRVMO",
        "FINLWT21",
        "STATE",
        "REGION",
        "BLS_URBN",
        "POPSIZE",
        "CUTENURE",
        "ROOMSQ",
        "BATHRMQ",
        "BEDROOMQ",
        "VEHQ",
        "VEHQL",
        "FAM_TYPE",
        "FAM_SIZE",
        "PERSLT18",
        "PERSOT64",
        "NO_EARNR",
        "AGE",
        "EDUCA",
        "SEX",
        "MARITAL",
        "MEMBRACE",
        "HORIGIN",
        "ARM_FORC",
        "IN_COLL",
        "EARNER",
        "EARNTYPE",
        "OCCUCODE",
        "INCOMEY",
        "INCNONWK",
        "FINCBTAX",
        "SALARYX",
        "SOCRRX",
        "IRAX",
        "LIQUIDX",
        "STOCKX",
        "STUDNTX",
        "TOTEXPCQ",
        "TOTXEST",
        "EHOUSNGC",
        "HEALTHCQ",
        "FOODCQ",
        "TOBACCCQ",
        "FOOTWRCQ"
      ],
      "rows": 68415,
      "table": true,
      "tojson": true
    }
  ],
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      "page": "rpms-package",
      "title": "Recursive Partitioning for Modeling Survey Data (rpms)",
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      "title": "box_ind",
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      "title": "CE Consumer expenditure data 2015",
      "topics": [
        "CE"
      ]
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