caret v4.70

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