caret v4.53


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