caret v4.58


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