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  "Package": "sambia",
  "Type": "Package",
  "Title": "A Collection of Techniques Correcting for Sample Selection Bias",
  "Version": "0.1.0",
  "Author": "Norbert Krautenbacher, Kevin Strauss, Maximilian Mandl,\nChristiane Fuchs",
  "Maintainer": "Norbert Krautenbacher <norbert.krautenbacher@tum.de>",
  "Description": "A collection of various techniques correcting statistical\nmodels for sample selection bias is provided. In particular,\nthe resampling-based methods \"stochastic inverse-probability\noversampling\" and \"parametric inverse-probability bagging\" are\nplaced at the disposal which generate synthetic observations\nfor correcting classifiers for biased samples resulting from\nstratified random sampling. For further information, see the\narticle Krautenbacher, Theis, and Fuchs (2017)\n<doi:10.1155/2017/7847531>. The methods may be used for further\npurposes where weighting and generation of new observations is\nneeded.",
  "License": "GPL-3",
  "RoxygenNote": "6.0.1.9000",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-05 08:55:34 UTC",
    "User": "root"
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  "Repository": "https://nkathh.r-universe.dev",
  "Date/Publication": "2018-06-06 10:27:57 UTC",
  "RemoteUrl": "https://github.com/cran/sambia",
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    "extra/citation.json",
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      "page": "costing",
      "title": "Predicting outcomes using Costing.",
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      ]
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      ]
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      ]
    },
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      ]
    },
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      "title": "Rejection Sampling is a method used in sambia's function 'costing' (Krautenbacher et al, 2017).",
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      ]
    },
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      "topics": [
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      ]
    },
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      "title": "smoteNew is a necessary function that modifies the SMOTE algorithm.",
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      ]
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