#CARET R PACKAGE FULL#

icr.formula: Independent Component Regression.ain: Lattice functions for plotting resampling results.getSamplingInfo: Get sampling info from a train model.gafs_initial: Ancillary genetic algorithm functions.fault: Genetic algorithm feature selection.format.bagEarth: Format 'bagEarth' objects.findLinearCombos: Determine linear combinations in a matrix.findCorrelation: Determine highly correlated variables.filterVarImp: Calculation of filter-based variable importance.featurePlot: Wrapper for Lattice Plotting of Predictor Variables.

#CARET R PACKAGE FULL#

dummyVars: Create A Full Set of Dummy Variables.

downSample: Down- and Up-Sampling Imbalanced Data.: Lattice Functions for Visualizing Resampling Differences.dotPlot: Create a dotplot of variable importance values.diff.resamples: Inferential Assessments About Model Performance.dhfr: Dihydrofolate Reductase Inhibitors Data.densityplot.rfe: Lattice functions for plotting resampling results of.createDataPartition: Data Splitting functions.ain: Estimate a Resampled Confusion Matrix.confusionMatrix: Create a confusion matrix.classDist: Compute and predict the distances to class centroids.cars: Kelly Blue Book resale data for 2005 model year GM cars.caretSBF: Selection By Filtering (SBF) Helper Functions.caretFuncs: Backwards Feature Selection Helper Functions.calibration: Probability Calibration Plot.BoxCoxTrans: Box-Cox and Exponential Transformations.avNNet: Neural Networks Using Model Averaging.as.nfusionMatrix: Confusion matrix as a table.

Caret r package