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