caret v3.16


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by Max Kuhn

Classification and Regression Training

Misc functions for training and plotting classification and regression models

Functions in caret

Name Description
findLinearCombos Determine linear combinations in a matrix
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
featurePlot Wrapper for Lattice Plotting of Predictor Variables
dotPlot Create a dotplot of variable importance values
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
nearZeroVar Identification of near zero variance predictors
findCorrelation Determine highly correlated variables
plotClassProbs Plot Predicted Probabilities in Classification Models
applyProcessing Data Processing on Predictor Variables (Deprecated)
createDataPartition Data Splitting functions
BloodBrain Blood Brain Barrier Data
caret-internal Internal Functions
print.train Print Method for the train Class
bagEarth Bagged Earth
extractPrediction Extract predictions and class probabilities from train objects
createGrid Tuning Parameter Grid
plot.varImp.train Plotting variable importance measures
filterVarImp Calculation of filter-based variable importance
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
confusionMatrix Create a confusion matrix
oil Fatty acid composition of commercial oils
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
bagFDA Bagged FDA
knn3 k-Nearest Neighbour Classification
format.bagEarth Format 'bagEarth' objects
roc Compute the points for an ROC curve
predict.knn3 Predictions from k-Nearest Neighbors
resampleSummary Summary of resampled performance estimates
predict.bagEarth Predicted values based on bagged Earth and FDA models
tecator Fat, Water and Protein Content of Maat Samples
postResample Calculates performance across resamples
spatialSign Compute the multivariate spatial sign
preProcess Pre-Processing of Predictors
plot.train Plot Method for the train Class
plsda Partial Least Squares Discriminant Analysis
pottery Pottery from Pre-Classical Sites in Italy
summary.bagEarth Summarize a bagged earth or FDA fit
sensitivity Calculate Sensitivity, Specificity and predictive values
trainControl Control parameters for train
resampleHist Plot the resampling distribution of the model statistics
varImp Calculation of variable importance for regression and classification models
aucRoc Compute the area under an ROC curve
panel.needle Needle Plot Lattice Panel
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
maxDissim Maximum Dissimilarity Sampling
train Fit Predictive Models over Different Tuning Parameters
print.confusionMatrix Print method for confusionMatrix
cox2 COX-2 Activity Data
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