caret v3.08

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