R Packages that start with:
A . B . C . D . E . F . G . H . I . J . K . L . M . N . O . P . Q . R . S . T . U . V . W . X . Y . Z .
Functions
- Accuracy()
- BinaryPlot()
- ChiSquareHeuristic()
- ClassificationOutput()
- ClassMajorityVoting()
- ClassWeightedVoting()
- ClusterPredictions()
- CombinedMetrics()
- CombinedVoting()
- ConfMatrix()
- D2MCS()
- Dataset()
- DatasetLoader()
- DefaultModelFit()
- DependencyBasedStrategy()
- DependencyBasedStrategyConfiguration()
- DIterator()
- ExecutedModels()
- FinalPred()
- FisherTestHeuristic()
- FIterator()
- FN()
- FP()
- GainRatioHeuristic()
- GenericClusteringStrategy()
- GenericHeuristic()
- GenericModelFit()
- GenericPlot()
- HDDataset()
- HDSubset()
- InformationGainHeuristic()
- Kappa()
- KendallHeuristic()
- MCC()
- MCCHeuristic()
- MeasureFunction()
- Methodology()
- MinimizeFN()
- MinimizeFP()
- Model()
- MultinformationHeuristic()
- NoProbability()
- NPV()
- OddsRatioHeuristic()
- PearsonHeuristic()
- PPV()
- Precision()
- Prediction()
- PredictionOutput()
- ProbAverageVoting()
- ProbAverageWeightedVoting()
- ProbBasedMethodology()
- Recall()
- Sensitivity()
- SimpleStrategy()
- SimpleVoting()
- SingleVoting()
- SpearmanHeuristic()
- Specificity()
- StrategyConfiguration()
- Subset()
- SummaryFunction()
- TN()
- TP()
- TrainFunction()
- TrainOutput()
- Trainset()
- TwoClass()
- TypeBasedStrategy()
- UseProbability()
- VotingStrategy()
R Codes
- clustering.heuristics.ChiSquareHeuristic.R
- clustering.heuristics.FisherTestHeuristic.R
- clustering.heuristics.GainRatioHeuristic.R
- clustering.heuristics.GenericHeuristic.R
- clustering.heuristics.InformationGainHeuristic.R
- clustering.heuristics.KendallHeuristic.R
- clustering.heuristics.MCCHeuristic.R
- clustering.heuristics.MultinformationHeuristic.R
- clustering.heuristics.OddsRatioHeuristic.R
- clustering.heuristics.PearsonHeuristic.R
- clustering.heuristics.SpearmanHeuristic.R
- clustering.plot.BinaryPlot.R
- clustering.plot.GenericPlot.R
- clustering.strategies.DependencyBasedStrategy.R
- clustering.strategies.DependencyBasedStrategyConfiguration.R
- clustering.strategies.GenericClusteringStrategy.R
- clustering.strategies.SimpleStrategy.R
- clustering.strategies.StrategyConfiguration.R
- clustering.strategies.TypeBasedStrategy.R
- D2MCS.R
- data.Dataset.R
- data.DatasetLoader.R
- data.DIterator.R
- data.FIterator.R
- data.HDDataset.R
- data.HDSubset.R
- data.Subset.R
- data.Trainset.R
- measures.Accuracy.R
- measures.ConfMatrix.R
- measures.FN.R
- measures.FP.R
- measures.Kappa.R
- measures.MCC.R
- measures.MeasureFunction.R
- measures.NPV.R
- measures.PPV.R
- measures.Precision.R
- measures.Recall.R
- measures.Sensitivity.R
- measures.Specificity.R
- measures.TN.R
- measures.TP.R
- models.ExecutedModels.R
- models.Model.R
- models.summaryFunction.NoProbability.R
- models.summaryFunction.SummaryFunction.R
- models.summaryFunction.UseProbability.R
- models.trainFunctions.TrainFunction.R
- models.trainFunctions.TwoClass.R
- models.utility.DefaultModelFit.R
- models.utility.GenericModelFit.R
- prediction.ClassificationOutput.R
- prediction.ClassMajorityVoting.R
- prediction.ClassWeightedVoting.R
- prediction.ClusterPredictions.R
- prediction.CombinedMetrics.R
- prediction.CombinedVoting.R
- prediction.FinalPred.R
- prediction.Methodology.R
- prediction.MinimizeFN.R
- prediction.MinimizeFP.R
- prediction.Prediction.R
- prediction.PredictionOutput.R
- prediction.ProbAverageVoting.R
- prediction.ProbAverageWeightedVoting.R
- prediction.ProbBasedMethodology.R
- prediction.SimpleVoting.R
- prediction.SingleVoting.R
- prediction.TrainOutput.R
- prediction.VotingStrategy.R
Selected R package: D2MCS
Click on the specific functions, references or examples using the links on the left
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