caret v5.02-011


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