caret v4.51


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