caret v4.34

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