caret v4.08


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