caret v3.37


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