caret v6.0-21


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