caret v4.41


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