caret v4.90

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