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  "Version": "1.1.0",
  "Title": "Connect R with MOA for Massive Online Analysis",
  "Authors@R": "c(person(\"Jan\", \"Wijffels\", role = c(\"aut\", \"cre\"), email =\n\"jwijffels@bnosac.be\"), person(\"BNOSAC\", role = \"cph\"))",
  "Description": "Connect R with MOA (Massive Online Analysis -\n<https://moa.cms.waikato.ac.nz/>) to build classification\nmodels and regression models on streaming data or out-of-RAM\ndata. Also streaming recommendation models are made available.",
  "SystemRequirements": "Java (>= 5.0)",
  "License": "GPL-3",
  "Copyright": "Code is Copyright (C) Jan Wijffels and BNOSAC",
  "Maintainer": "Jan Wijffels <jwijffels@bnosac.be>",
  "URL": "http://www.bnosac.be, https://github.com/jwijffels/RMOA,\nhttps://moa.cms.waikato.ac.nz/",
  "RoxygenNote": "7.1.1",
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  "Repository": "https://jwijffels.r-universe.dev",
  "Date/Publication": "2022-07-17 20:00:02 UTC",
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  "_created": "2026-10-18T07:55:43.000Z",
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    "description": "www.bnosac.be"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/RMOA"
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  "_topics": [
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    "extra/citation.json",
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      "date": "2014-09-18"
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      "date": "2021-09-27"
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      "date": "2022-07-17"
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    "AccuracyWeightedEnsemble",
    "ActiveClassifier",
    "ADACC",
    "AdaHoeffdingOptionTree",
    "AMRulesRegressor",
    "ASHoeffdingTree",
    "BaselinePredictor",
    "BRISMFPredictor",
    "DACC",
    "datastream",
    "datastream_csv",
    "datastream_csv2",
    "datastream_dataframe",
    "datastream_delim",
    "datastream_delim2",
    "datastream_ffdf",
    "datastream_file",
    "datastream_matrix",
    "datastream_table",
    "DecisionStump",
    "factorise",
    "FadingTargetMean",
    "FIMTDD",
    "HoeffdingAdaptiveTree",
    "HoeffdingOptionTree",
    "HoeffdingTree",
    "LeveragingBag",
    "LimAttClassifier",
    "LimAttHoeffdingTree",
    "MOA_classifier",
    "MOA_recommender",
    "MOA_regressor",
    "MOAattributes",
    "MOAoptions",
    "NaiveBayes",
    "NaiveBayesMultinomial",
    "OCBoost",
    "OnlineAccuracyUpdatedEnsemble",
    "ORTO",
    "OzaBag",
    "OzaBagAdwin",
    "OzaBagASHT",
    "OzaBoost",
    "OzaBoostAdwin",
    "Perceptron",
    "RandomHoeffdingTree",
    "TargetMean",
    "TemporallyAugmentedClassifier",
    "trainMOA",
    "WeightedMajorityAlgorithm"
  ],
  "_help": [
    {
      "page": "datastream",
      "title": "Datastream objects and methods",
      "topics": [
        "datastream"
      ]
    },
    {
      "page": "datastream_dataframe",
      "title": "data streams on a data.frame",
      "topics": [
        "datastream_dataframe"
      ]
    },
    {
      "page": "datastream_ffdf",
      "title": "data streams on an ffdf",
      "topics": [
        "datastream_ffdf"
      ]
    },
    {
      "page": "datastream_file",
      "title": "File data stream",
      "topics": [
        "datastream_csv",
        "datastream_csv2",
        "datastream_delim",
        "datastream_delim2",
        "datastream_file",
        "datastream_table"
      ]
    },
    {
      "page": "datastream_matrix",
      "title": "data streams on a matrix",
      "topics": [
        "datastream_matrix"
      ]
    },
    {
      "page": "factorise",
      "title": "Convert character strings to factors in a dataset",
      "topics": [
        "factorise"
      ]
    },
    {
      "page": "MOA_classification_activelearning",
      "title": "MOA active learning classification",
      "topics": [
        "ActiveClassifier",
        "MOA_classification_activelearning"
      ]
    },
    {
      "page": "MOA_classification_bayes",
      "title": "MOA bayesian classification",
      "topics": [
        "MOA_classification_bayes",
        "NaiveBayes",
        "NaiveBayesMultinomial"
      ]
    },
    {
      "page": "MOA_classification_ensemblelearning",
      "title": "MOA classification using ensembles",
      "topics": [
        "AccuracyUpdatedEnsemble",
        "AccuracyWeightedEnsemble",
        "ADACC",
        "DACC",
        "LeveragingBag",
        "LimAttClassifier",
        "MOA_classification_ensemblelearning",
        "OCBoost",
        "OnlineAccuracyUpdatedEnsemble",
        "OzaBag",
        "OzaBagAdwin",
        "OzaBagASHT",
        "OzaBoost",
        "OzaBoostAdwin",
        "TemporallyAugmentedClassifier",
        "WeightedMajorityAlgorithm"
      ]
    },
    {
      "page": "MOA_classification_trees",
      "title": "MOA classification trees",
      "topics": [
        "AdaHoeffdingOptionTree",
        "ASHoeffdingTree",
        "DecisionStump",
        "HoeffdingAdaptiveTree",
        "HoeffdingOptionTree",
        "HoeffdingTree",
        "LimAttHoeffdingTree",
        "MOA_classification_trees",
        "RandomHoeffdingTree"
      ]
    },
    {
      "page": "MOA_classifier",
      "title": "Create a MOA classifier",
      "topics": [
        "MOA_classifier"
      ]
    },
    {
      "page": "MOA_recommendation_engines",
      "title": "MOA recommendation engines",
      "topics": [
        "BaselinePredictor",
        "BRISMFPredictor",
        "MOA_recommendation_engines"
      ]
    },
    {
      "page": "MOA_recommender",
      "title": "Create a MOA recommendation engine",
      "topics": [
        "MOA_recommender"
      ]
    },
    {
      "page": "MOA_regressor",
      "title": "Create a MOA regressor",
      "topics": [
        "MOA_regressor"
      ]
    },
    {
      "page": "MOA_regressors",
      "title": "MOA regressors",
      "topics": [
        "AMRulesRegressor",
        "FadingTargetMean",
        "FIMTDD",
        "MOA_regressors",
        "ORTO",
        "Perceptron",
        "TargetMean"
      ]
    },
    {
      "page": "MOAattributes",
      "title": "Define the attributes of a dataset (factor levels, numeric or string data) in a MOA setting",
      "topics": [
        "MOAattributes"
      ]
    },
    {
      "page": "MOAoptions",
      "title": "Get and set options for models build with MOA.",
      "topics": [
        "MOAoptions"
      ]
    },
    {
      "page": "predict.MOA_trainedmodel",
      "title": "Predict using a MOA classifier, MOA regressor or MOA recommender on a new dataset",
      "topics": [
        "predict.MOA_trainedmodel"
      ]
    },
    {
      "page": "summary.MOA_classifier",
      "title": "Summary statistics of a MOA classifier",
      "topics": [
        "summary.MOA_classifier"
      ]
    },
    {
      "page": "summary.MOA_recommender",
      "title": "Summary statistics of a MOA recommender",
      "topics": [
        "summary.MOA_recommender"
      ]
    },
    {
      "page": "summary.MOA_regressor",
      "title": "Summary statistics of a MOA regressor",
      "topics": [
        "summary.MOA_regressor"
      ]
    },
    {
      "page": "trainMOA",
      "title": "Train a MOA classifier/regressor/recommendation engine on a datastream",
      "topics": [
        "trainMOA"
      ]
    },
    {
      "page": "trainMOA.MOA_classifier",
      "title": "Train a MOA classifier (e.g. a HoeffdingTree) on a datastream",
      "topics": [
        "trainMOA.MOA_classifier"
      ]
    },
    {
      "page": "trainMOA.MOA_recommender",
      "title": "Train a MOA recommender (e.g. a BRISMFPredictor) on a datastream",
      "topics": [
        "trainMOA.MOA_recommender"
      ]
    },
    {
      "page": "trainMOA.MOA_regressor",
      "title": "Train a MOA regressor (e.g. a FIMTDD) on a datastream",
      "topics": [
        "trainMOA.MOA_regressor"
      ]
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      "homepage": "https://openjdk.java.net/",
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      "source": "packageShowCase.Rnw",
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      "title": "R interface to MOA for data stream mining",
      "engine": "utils::Sweave",
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      "created": "2014-09-18",
      "modified": "2018-09-22 14:00:06",
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