caret v2.29


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