caret v4.89

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