caret v3.51


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