{
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  "Package": "neighbr",
  "Title": "Classification, Regression, Clustering with K Nearest Neighbors",
  "Version": "1.0.3",
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  "Description": "Classification, regression, and clustering with k nearest\nneighbors algorithm. Implements several distance and similarity\nmeasures, covering continuous and logical features. Outputs\nranked neighbors. Most features of this package are directly\nbased on the PMML specification for KNN.",
  "License": "GPL (>= 2.1)",
  "Encoding": "UTF-8",
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    "Date": "2026-05-14 19:39:53 UTC",
    "User": "root"
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  "Author": "Dmitriy Bolotov [aut, cre], Software AG [cph]",
  "Maintainer": "Dmitriy Bolotov <dmitriy.bolotov@softwareag.com>",
  "Repository": "https://cranhaven.r-universe.dev",
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  "RemoteUrl": "https://github.com/cranhaven/cranhaven.r-universe.dev",
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      "title": "Calculate the distance between two vectors.",
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        "distance"
      ]
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      "page": "knn",
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      "topics": [
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      ]
    },
    {
      "page": "neighbr",
      "title": "neighbr: A package for computing nearest neighbors.",
      "topics": [
        "neighbr"
      ]
    },
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        "Introduction",
        "Examples",
        "Continuous features and categorical target",
        "Mixed targets and neighbor ranking",
        "Neighbor ranking without targets",
        "Logical features",
        "Additional Information",
        "Categorical features",
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        "Distance",
        "Similarity",
        "Ties",
        "Missing data",
        "Neighbr and PMML",
        "References"
      ],
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      "modified": "2026-05-14 14:02:00",
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