caret v4.62

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