jasp-stats/jaspMachineLearning
Machine Learning Module for JASP

Package index
Search the jasp-stats/jaspMachineLearning package
Vignettes
Functions
230
Source code
52
Man pages
0
Home
/
GitHub
/
jasp-stats/jaspMachineLearning: Machine Learning Module for JASP
/
API

API for jasp-stats/jaspMachineLearning
Machine Learning Module for JASP

Global functions
.boostingClassification Source code
.boostingRegression Source code
.boxM Source code
.cMeansClustering Source code
.calcAUCScore Source code
.calcAUCScore.bayesClassification Source code
.calcAUCScore.boostingClassification Source code
.calcAUCScore.knnClassification Source code
.calcAUCScore.ldaClassification Source code
.calcAUCScore.logisticClassification Source code
.calcAUCScore.nnClassification Source code
.calcAUCScore.partClassification Source code
.calcAUCScore.randomForestClassification Source code
.calcAUCScore.svmClassification Source code
.checkForNewFactorLevelsInPredictionSet Source code
.classLdaErrorHandling Source code
.classificationCalcAUC Source code
.classificationFillDecisionBoundary Source code
.decisionBoundaryPlot Source code
.decisionTreeClassification Source code
.decisionTreeRegression Source code
.densityBasedClustering Source code
.disttovar Source code
.errorHandlingClassificationRegressionAnalyses Source code
.extractMemSizeFromError Source code
.getCustomErrorChecksClustering Source code
.getCustomErrorChecksKnnBoosting Source code
.getNeuralNetworkStructure Source code
.hierarchicalClustering Source code
.kMeansClustering Source code
.knnClassification Source code
.knnRegression Source code
.ldaClassification Source code
.ldaDensityplot Source code
.ldaFillMatrixPlot Source code
.ldaModelMatrix Source code
.ldaScatterPlot Source code
.legendPlot Source code
.linearRegression Source code
.logisticMultinomialClassification Source code
.matchDecodedNames Source code
.mlAddTestIndicatorToData Source code
.mlBoostingCheckMinObsNode Source code
.mlBoostingPlotDeviance Source code
.mlBoostingPlotOobImprovement Source code
.mlBoostingPlotRelInf Source code
.mlBoostingTableFeatureImportance Source code
.mlClassificationAddPredictionsToData Source code
.mlClassificationComputeResults Source code
.mlClassificationDependencies Source code
.mlClassificationErrorHandling Source code
.mlClassificationLdaPlotDiscriminants Source code
.mlClassificationLdaTableCoef Source code
.mlClassificationLdaTableEqualityCovMat Source code
.mlClassificationLdaTableEqualityMeans Source code
.mlClassificationLdaTableMeans Source code
.mlClassificationLdaTableMulticollinearity Source code
.mlClassificationLdaTableMultivariateNormality Source code
.mlClassificationLdaTablePriorPosterior Source code
.mlClassificationLogisticPredictions Source code
.mlClassificationLogisticTableCoef Source code
.mlClassificationMultinomialPredictions Source code
.mlClassificationPlotAndrews Source code
.mlClassificationPlotBoundaries Source code
.mlClassificationPlotRoc Source code
.mlClassificationReadData Source code
.mlClassificationReady Source code
.mlClassificationSetFormula Source code
.mlClassificationTableConfusion Source code
.mlClassificationTableMetrics Source code
.mlClassificationTableProportions Source code
.mlClassificationTableSummary Source code
.mlClusteringAddPredictionsToData Source code
.mlClusteringCalculateDistances Source code
.mlClusteringComputeResults Source code
.mlClusteringDensityBasedPlotError Source code
.mlClusteringDependencies Source code
.mlClusteringErrorHandling Source code
.mlClusteringHierarchicalDendogram Source code
.mlClusteringMatrixPlot Source code
.mlClusteringPlotDensities Source code
.mlClusteringPlotElbow Source code
.mlClusteringPlotMeans Source code
.mlClusteringPlotTsne Source code
.mlClusteringRandomForestTableFeatureImportance Source code
.mlClusteringReadData Source code
.mlClusteringReady Source code
.mlClusteringTableInformation Source code
.mlClusteringTableMeans Source code
.mlClusteringTableMetrics Source code
.mlClusteringTableModelParameters Source code
.mlClusteringTableSummary Source code
.mlColorScheme Source code
.mlDecisionTreePlotError Source code
.mlDecisionTreePlotTree Source code
.mlDecisionTreeTableSplits Source code
.mlDecisionTreeTableVarImp Source code
.mlKnnPlotError Source code
.mlKnnPlotWeights Source code
.mlNaiveBayesTablePosterior Source code
.mlNeuralNetworkActFunction Source code
.mlNeuralNetworkLossFunction Source code
.mlNeuralNetworkOptimCrossover Source code
.mlNeuralNetworkOptimInit Source code
.mlNeuralNetworkOptimMutate Source code
.mlNeuralNetworkOptimSelection Source code
.mlNeuralNetworkOptimSurvivors Source code
.mlNeuralNetworkPlotActivationFunction Source code
.mlNeuralNetworkPlotError Source code
.mlNeuralNetworkPlotStructure Source code
.mlNeuralNetworkTableWeights Source code
.mlPlotDataSplit Source code
.mlPredictionGetModelType Source code
.mlPredictionGetModelType.cv.glmnet Source code
.mlPredictionGetModelType.gbm Source code
.mlPredictionGetModelType.glm Source code
.mlPredictionGetModelType.kknn Source code
.mlPredictionGetModelType.lda Source code
.mlPredictionGetModelType.lm Source code
.mlPredictionGetModelType.naiveBayes Source code
.mlPredictionGetModelType.nn Source code
.mlPredictionGetModelType.randomForest Source code
.mlPredictionGetModelType.rpart Source code
.mlPredictionGetModelType.svm Source code
.mlPredictionGetModelType.vglm Source code
.mlPredictionGetPredictions Source code
.mlPredictionGetPredictions.cv.glmnet Source code
.mlPredictionGetPredictions.gbm Source code
.mlPredictionGetPredictions.glm Source code
.mlPredictionGetPredictions.kknn Source code
.mlPredictionGetPredictions.lda Source code
.mlPredictionGetPredictions.lm Source code
.mlPredictionGetPredictions.naiveBayes Source code
.mlPredictionGetPredictions.nn Source code
.mlPredictionGetPredictions.randomForest Source code
.mlPredictionGetPredictions.rpart Source code
.mlPredictionGetPredictions.svm Source code
.mlPredictionGetPredictions.vglm Source code
.mlPredictionGetTrainingN Source code
.mlPredictionGetTrainingN.cv.glmnet Source code
.mlPredictionGetTrainingN.gbm Source code
.mlPredictionGetTrainingN.glm Source code
.mlPredictionGetTrainingN.kknn Source code
.mlPredictionGetTrainingN.lda Source code
.mlPredictionGetTrainingN.lm Source code
.mlPredictionGetTrainingN.naiveBayes Source code
.mlPredictionGetTrainingN.nn Source code
.mlPredictionGetTrainingN.randomForest Source code
.mlPredictionGetTrainingN.rpart Source code
.mlPredictionGetTrainingN.svm Source code
.mlPredictionGetTrainingN.vglm Source code
.mlPredictionModelSummaryTable Source code
.mlPredictionReadData Source code
.mlPredictionReadModel Source code
.mlPredictionReady Source code
.mlPredictionsAddPredictions Source code
.mlPredictionsState Source code
.mlPredictionsTable Source code
.mlRandomForestPlotDecreaseAccuracy Source code
.mlRandomForestPlotError Source code
.mlRandomForestPlotIncreasePurity Source code
.mlRandomForestTableFeatureImportance Source code
.mlRegressionAddPredictionsToData Source code
.mlRegressionComputeResults Source code
.mlRegressionDependencies Source code
.mlRegressionErrorHandling Source code
.mlRegressionLinearTableCoef Source code
.mlRegressionPlotPredictedPerformance Source code
.mlRegressionReady Source code
.mlRegressionRegularizedPlotLambda Source code
.mlRegressionRegularizedPlotVariableTrace Source code
.mlRegressionRegularizedTableCoef Source code
.mlRegressionSetFormula Source code
.mlRegressionTableMetrics Source code
.mlRegressionTableSummary Source code
.mlSvmPlotError Source code
.mlSvmTableSupportVectors Source code
.mlTableFeatureImportance Source code
.mlTableShap Source code
.modelBasedClustering Source code
.naiveBayesClassification Source code
.neuralnetClassification Source code
.neuralnetRegression Source code
.randomForestClassification Source code
.randomForestClustering Source code
.randomForestRegression Source code
.readAndAddCompleteRowIndices Source code
.readDataClassificationRegressionAnalyses Source code
.readDataRegressionAnalyses Source code
.regressionGetDistributionFromDistance Source code
.regularizedRegression Source code
.scaleNumericData Source code
.scaleNumericData.data.frame Source code
.scaleNumericData.default Source code
.scaleNumericData.matrix Source code
.scaleNumericData.numeric Source code
.ss Source code
.sumsqr Source code
.svmClassification Source code
.svmRegression Source code
.tss Source code
fakeGbmCrossValErr Source code
fakeGbmCrossValModelBuild Source code
findCutoff Source code
findInverse Source code
is.jaspMachineLearning Source code
mlClassificationBoosting Source code
mlClassificationDecisionTree Source code
mlClassificationKnn Source code
mlClassificationLda Source code
mlClassificationLogisticMultinomial Source code
mlClassificationNaiveBayes Source code
mlClassificationNeuralNetwork Source code
mlClassificationRandomForest Source code
mlClassificationSvm Source code
mlClusteringDensityBased Source code
mlClusteringFuzzyCMeans Source code
mlClusteringHierarchical Source code
mlClusteringKMeans Source code
mlClusteringModelBased Source code
mlClusteringRandomForest Source code
mlPrediction Source code
mlRegressionBoosting Source code
mlRegressionDecisionTree Source code
mlRegressionKnn Source code
mlRegressionLinear Source code
mlRegressionNeuralNetwork Source code
mlRegressionRandomForest Source code
mlRegressionRegularized Source code
mlRegressionSvm Source code
jasp-stats/jaspMachineLearning documentation built on April 5, 2025, 3:52 p.m.

R Package Documentation

rdrr.io home R language documentation Run R code online

Browse R Packages

CRAN packages Bioconductor packages R-Forge packages GitHub packages

We want your feedback!

Note that we can't provide technical support on individual packages. You should contact the package authors for that.
GitHub issue tracker
ian@mutexlabs.com
Personal blog

 
Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.

Close