caret v2.27


Monthly downloads



by Max Kuhn

Classification and Regression Training

Misc functions for training and plotting classification and regression models

Functions in caret

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