caret v4.47

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