caret v5.15-045


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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
bagFDA Bagged FDA
diff.resamples Inferential Assessments About Model Performance
xyplot.resamples Lattice Functions for Visualizing Resampling Results
dhfr Dihydrofolate Reductase Inhibitors Data
caret-internal Internal Functions
createDataPartition Data Splitting functions
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
segmentationData Cell Body Segmentation
icr.formula Independent Component Regression
knnreg k-Nearest Neighbour Regression
plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
featurePlot Wrapper for Lattice Plotting of Predictor Variables
findLinearCombos Determine linear combinations in a matrix
pcaNNet.default Neural Networks with a Principal Component Step
plotClassProbs Plot Predicted Probabilities in Classification Models
as.table.confusionMatrix Save Confusion Table Results
GermanCredit German Credit Data
caretSBF Selection By Filtering (SBF) Helper Functions
knn3 k-Nearest Neighbour Classification
spatialSign Compute the multivariate spatial sign
predict.knnreg Predictions from k-Nearest Neighbors Regression Model
pottery Pottery from Pre-Classical Sites in Italy
panel.lift2 Lattice Panel Functions for Lift Plots
rfe Backwards Feature Selection
sensitivity Calculate sensitivity, specificity and predictive values
print.confusionMatrix Print method for confusionMatrix
prcomp.resamples Principal Components Analysis of Resampling Results
format.bagEarth Format 'bagEarth' objects
modelLookup Descriptions Of Models Available in train()
findCorrelation Determine highly correlated variables
BloodBrain Blood Brain Barrier Data
caretFuncs Backwards Feature Selection Helper Functions
histogram.train Lattice functions for plotting resampling results
plot.train Plot Method for the train Class
maxDissim Maximum Dissimilarity Sampling
bag.default A General Framework For Bagging
lift Lift Plot
calibration Probability Calibration Plot
sbfControl Control Object for Selection By Filtering (SBF)
panel.needle Needle Plot Lattice Panel
oneSE Selecting tuning Parameters
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
trainControl Control parameters for train
confusionMatrix.train Estimate a Resampled Confusion Matrix
dummyVars Create A Full Set of Dummy Variables
plot.varImp.train Plotting variable importance measures
predictors List predictors used in the model
varImp Calculation of variable importance for regression and classification models
confusionMatrix Create a confusion matrix
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
resampleSummary Summary of resampled performance estimates
nearZeroVar Identification of near zero variance predictors
summary.bagEarth Summarize a bagged earth or FDA fit
oil Fatty acid composition of commercial oils
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
predict.knn3 Predictions from k-Nearest Neighbors
resampleHist Plot the resampling distribution of the model statistics
avNNet.default Neural Networks Using Model Averaging
rfeControl Controlling the Feature Selection Algorithms
dotPlot Create a dotplot of variable importance values
dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences
bagEarth Bagged Earth
createGrid Tuning Parameter Grid
nullModel Fit a simple, non-informative model
postResample Calculates performance across resamples
sbf Selection By Filtering (SBF)
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
filterVarImp Calculation of filter-based variable importance
update.train Update and Re-fit a Model
print.train Print Method for the train Class
predict.bagEarth Predicted values based on bagged Earth and FDA models
resamples Collation and Visualization of Resampling Results
classDist Compute and predict the distances to class centroids
tecator Fat, Water and Protein Content of Meat Samples
BoxCoxTrans.default Box-Cox Transformations
cox2 COX-2 Activity Data
downSample Down- and Up-Sampling Imbalanced Data
predict.train Extract predictions and class probabilities from train objects
lattice.rfe Lattice functions for plotting resampling results of recursive feature selection
cars Kelly Blue Book resale data for 2005 model year GM cars
preProcess Pre-Processing of Predictors
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