caret v3.13


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