caret v5.12-04


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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
summary.bagEarth Summarize a bagged earth or FDA fit
pcaNNet.default Neural Networks with a Principal Component Step
lattice.rfe Lattice functions for plotting resampling results of recursive feature selection
spatialSign Compute the multivariate spatial sign
format.bagEarth Format 'bagEarth' objects
GermanCredit German Credit Data
cars Kelly Blue Book resale data for 2005 model year GM cars
classDist Compute and predict the distances to class centroids
BoxCoxTrans.default Box-Cox Transformations
aucRoc Compute the area under an ROC curve
diff.resamples Inferential Assessments About Model Performance
cox2 COX-2 Activity Data
createDataPartition Data Splitting functions
createGrid Tuning Parameter Grid
dummyVars Create A Full Set of Dummy Variables
findCorrelation Determine highly correlated variables
bag.default A General Framework For Bagging
predict.train Extract predictions and class probabilities from train objects
confusionMatrix.train Estimate a Resampled Confusion Matrix
dotPlot Create a dotplot of variable importance values
histogram.train Lattice functions for plotting resampling results
icr.formula Independent Component Regression
findLinearCombos Determine linear combinations in a matrix
avNNet.default Neural Networks Using Model Averaging
plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
as.table.confusionMatrix Save Confusion Table Results
print.confusionMatrix Print method for confusionMatrix
caretSBF Selection By Filtering (SBF) Helper Functions
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
modelLookup Descriptions Of Models Available in train()
nullModel Fit a simple, non-informative model
plot.train Plot Method for the train Class
knn3 k-Nearest Neighbour Classification
nearZeroVar Identification of near zero variance predictors
resampleHist Plot the resampling distribution of the model statistics
prcomp.resamples Principal Components Analysis of Resampling Results
trainControl Control parameters for train
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
postResample Calculates performance across resamples
rfe Backwards Feature Selection
panel.lift2 Lattice Panel Functions for Lift Plots
caretFuncs Backwards Feature Selection Helper Functions
caret-internal Internal Functions
predict.bagEarth Predicted values based on bagged Earth and FDA models
sbf Selection By Filtering (SBF)
rfeControl Controlling the Feature Selection Algorithms
segmentationData Cell Body Segmentation
resampleSummary Summary of resampled performance estimates
varImp Calculation of variable importance for regression and classification models
sensitivity Calculate sensitivity, specificity and predictive values
train Fit Predictive Models over Different Tuning Parameters
resamples Collation and Visualization of Resampling Results
oil Fatty acid composition of commercial oils
maxDissim Maximum Dissimilarity Sampling
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
preProcess Pre-Processing of Predictors
confusionMatrix Create a confusion matrix
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
knnreg k-Nearest Neighbour Regression
xyplot.resamples Lattice Functions for Visualizing Resampling Results
sbfControl Control Object for Selection By Filtering (SBF)
oneSE Selecting tuning Parameters
panel.needle Needle Plot Lattice Panel
featurePlot Wrapper for Lattice Plotting of Predictor Variables
lift Lift Plot
predict.knn3 Predictions from k-Nearest Neighbors
tecator Fat, Water and Protein Content of Meat Samples
BloodBrain Blood Brain Barrier Data
bagFDA Bagged FDA
dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences
plot.varImp.train Plotting variable importance measures
pottery Pottery from Pre-Classical Sites in Italy
predict.knnreg Predictions from k-Nearest Neighbors Regression Model
predictors List predictors used in the model
roc Compute the points for an ROC curve
dhfr Dihydrofolate Reductase Inhibitors Data
bagEarth Bagged Earth
plotClassProbs Plot Predicted Probabilities in Classification Models
print.train Print Method for the train Class
filterVarImp Calculation of filter-based variable importance
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