Classification and Regression Training

as.matrix.confusionMatrix | Confusion matrix as a table |

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 |

caretFuncs | Backwards Feature Selection Helper Functions |

caret-internal | Internal Functions |

caretSBF | Selection By Filtering (SBF) Helper 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 |

densityplot.rfe | Lattice functions for plotting resampling results of... |

dhfr | Dihydrofolate Reductase Inhibitors Data |

diff.resamples | Inferential Assessments About Model Performance |

dotPlot | Create a dotplot of variable importance values |

dotplot.diff.resamples | Lattice Functions for Visualizing Resampling Differences |

downSample | Down- and Up-Sampling Imbalanced Data |

dummyVars | Create A Full Set of Dummy Variables |

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 |

gafs.default | Genetic algorithm feature selection |

gafs_initial | Ancillary genetic algorithm functions |

GermanCredit | German Credit Data |

getSamplingInfo | Get sampling info from a train model |

histogram.train | Lattice functions for plotting resampling results |

icr.formula | Independent Component Regression |

index2vec | Convert indicies to a binary vector |

knn3 | k-Nearest Neighbour Classification |

knnreg | k-Nearest Neighbour Regression |

learning_curve_dat | Create Data to Plot a Learning Curve |

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 |

nullModel | Fit a simple, non-informative model |

oil | Fatty acid composition of commercial oils |

oneSE | Selecting tuning Parameters |

panel.lift2 | 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 |

plot.gafs | Plot Method for the gafs and safs Classes |

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.gafs | Predict new samples |

predict.knn3 | Predictions from k-Nearest Neighbors |

predict.knnreg | Predictions from k-Nearest Neighbors Regression Model |

predictors | List predictors used in the model |

predict.train | Extract predictions and class probabilities from train... |

preProcess | Pre-Processing of Predictors |

print.confusionMatrix | Print method for confusionMatrix |

print.train | Print Method for the train Class |

recall | Calculate recall, precision and F values |

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 |

Sacramento | Sacramento CA Home Prices |

safs | Simulated annealing feature selection |

safsControl | Control parameters for GA and SA feature selection |

safs_initial | Ancillary simulated annealing functions |

sbf | Selection By Filtering (SBF) |

sbfControl | Control Object for Selection By Filtering (SBF) |

scat | Morphometric Data on Scat |

segmentationData | Cell Body Segmentation |

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 |

thresholder | Generate Data to Choose a Probability Threshold |

train | Fit Predictive Models over Different Tuning Parameters |

trainControl | Control parameters for train |

twoClassSim | Simulation Functions |

update.safs | Update or Re-fit a SA or GA Model |

update.train | Update or Re-fit a Model |

varImp | Calculation of variable importance for regression and... |

varImp.gafs | Variable importances for GAs and SAs |

var_seq | Sequences of Variables for Tuning |

xyplot.resamples | Lattice Functions for Visualizing Resampling Results |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.