caret v4.42


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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
cox2 COX-2 Activity Data
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
preProcess Pre-Processing of Predictors
caret-internal Internal Functions
cars Kelly Blue Book resale data for 2005 model year GM cars
bagFDA Bagged FDA
aucRoc Compute the area under an ROC curve
postResample Calculates performance across resamples
print.train Print Method for the train Class
knnreg k-Nearest Neighbour Regression
dotPlot Create a dotplot of variable importance values
predict.train Extract predictions and class probabilities from train objects
oil Fatty acid composition of commercial oils
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
resampleHist Plot the resampling distribution of the model statistics
rfeControl Controlling the Feature Selection Algorithms
trainControl Control parameters for train
classDist Compute and predict the distances to class centroids
plot.train Plot Method for the train Class
resamples Collation and Visualization of Resampling Results
sensitivity Calculate sensitivity, specificity and predictive values
train Fit Predictive Models over Different Tuning Parameters
confusionMatrix Create a confusion matrix
findLinearCombos Determine linear combinations in a matrix
maxDissim Maximum Dissimilarity Sampling
pottery Pottery from Pre-Classical Sites in Italy
predict.knn3 Predictions from k-Nearest Neighbors
as.table.confusionMatrix Save Confusion Table Results
dhfr Dihydrofolate Reductase Inhibitors Data
format.bagEarth Format 'bagEarth' objects
findCorrelation Determine highly correlated variables
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
pcaNNet.default Neural Networks with a Principal Component Step
sbf Selection By Filtering (SBF)
tecator Fat, Water and Protein Content of Meat Samples
summary.bagEarth Summarize a bagged earth or FDA fit
createGrid Tuning Parameter Grid
applyProcessing Data Processing on Predictor Variables (Deprecated)
filterVarImp Calculation of filter-based variable importance
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
nullModel Fit a simple, non-informative model
predictors List predictors used in the model
resampleSummary Summary of resampled performance estimates
varImp Calculation of variable importance for regression and classification models
sbfControl Control Object for Selection By Filtering (SBF)
createDataPartition Data Splitting functions
icr.formula Independent Component Regression
lattice.rfe Lattice functions for plotting resampling results of recursive feature selection
panel.needle Needle Plot Lattice Panel
print.confusionMatrix Print method for confusionMatrix
plotClassProbs Plot Predicted Probabilities in Classification Models
rfe Backwards Feature Selection
spatialSign Compute the multivariate spatial sign
BloodBrain Blood Brain Barrier Data
diff.resamples Inferential Assessments About Model Performance
bagEarth Bagged Earth
featurePlot Wrapper for Lattice Plotting of Predictor Variables
histogram.train Lattice functions for plotting resampling results
xyplot.resamples Lattice Functions for Visualizing Resampling Results
plot.varImp.train Plotting variable importance measures
plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
caretFuncs Backwards Feature Selection Helper Functions
roc Compute the points for an ROC curve
oneSE Selecting tuning Parameters
caretSBF Selection By Filtering (SBF) Helper Functions
predict.bagEarth Predicted values based on bagged Earth and FDA models
predict.knnreg Predictions from k-Nearest Neighbors Regression Model
knn3 k-Nearest Neighbour Classification
nearZeroVar Identification of near zero variance predictors
dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences
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