caret v4.78


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