caret v3.45

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