R: Connect R with MOA for Massive Online Analysis

# Connect R with MOA for Massive Online Analysis

## Documentation for package ‘RMOA’ version 1.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

AccuracyUpdatedEnsemble | MOA classification using ensembles
AccuracyWeightedEnsemble | MOA classification using ensembles
ActiveClassifier | MOA active learning classification
ADACC | MOA classification using ensembles
AdaHoeffdingOptionTree | MOA classification trees
AMRulesRegressor | MOA regressors
ASHoeffdingTree | MOA classification trees
BaselinePredictor | MOA recommendation engines
BRISMFPredictor | MOA recommendation engines
DACC | MOA classification using ensembles
datastream | Datastream objects and methods
datastream_csv | File data stream
datastream_csv2 | File data stream
datastream_dataframe | data streams on a data.frame
datastream_delim | File data stream
datastream_delim2 | File data stream
datastream_ffdf | data streams on an ffdf
datastream_file | File data stream
datastream_matrix | data streams on a matrix
datastream_table | File data stream
DecisionStump | MOA classification trees
factorise | Convert character strings to factors in a dataset
FadingTargetMean | MOA regressors
FIMTDD | MOA regressors
HoeffdingAdaptiveTree | MOA classification trees
HoeffdingOptionTree | MOA classification trees
HoeffdingTree | MOA classification trees
LeveragingBag | MOA classification using ensembles
LimAttClassifier | MOA classification using ensembles
LimAttHoeffdingTree | MOA classification trees
MOAattributes | Define the attributes of a dataset (factor levels, numeric or string data) in a MOA setting
MOAoptions | Get and set options for models build with MOA.
MOA_classification_activelearning | MOA active learning classification
MOA_classification_bayes | MOA bayesian classification
MOA_classification_ensemblelearning | MOA classification using ensembles
MOA_classification_trees | MOA classification trees
MOA_classifier | Create a MOA classifier
MOA_recommendation_engines | MOA recommendation engines
MOA_recommender | Create a MOA recommendation engine
MOA_regressor | Create a MOA regressor
MOA_regressors | MOA regressors
NaiveBayes | MOA bayesian classification
NaiveBayesMultinomial | MOA bayesian classification
OCBoost | MOA classification using ensembles
OnlineAccuracyUpdatedEnsemble | MOA classification using ensembles
ORTO | MOA regressors
OzaBag | MOA classification using ensembles
OzaBagAdwin | MOA classification using ensembles
OzaBagASHT | MOA classification using ensembles
OzaBoost | MOA classification using ensembles
OzaBoostAdwin | MOA classification using ensembles
Perceptron | MOA regressors
predict.MOA_trainedmodel | Predict using a MOA classifier, MOA regressor or MOA recommender on a new dataset
RandomHoeffdingTree | MOA classification trees
summary.MOA_classifier | Summary statistics of a MOA classifier
summary.MOA_recommender | Summary statistics of a MOA recommender
summary.MOA_regressor | Summary statistics of a MOA regressor
TargetMean | MOA regressors
TemporallyAugmentedClassifier | MOA classification using ensembles
trainMOA | Train a MOA classifier/regressor/recommendation engine on a datastream
trainMOA.MOA_classifier | Train a MOA classifier (e.g. a HoeffdingTree) on a datastream
trainMOA.MOA_recommender | Train a MOA recommender (e.g. a BRISMFPredictor) on a datastream
trainMOA.MOA_regressor | Train a MOA regressor (e.g. a FIMTDD) on a datastream
WeightedMajorityAlgorithm | MOA classification using ensembles