caret v4.91

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