caret v4.99

0

Monthly downloads

0th

Percentile

by Max Kuhn

Classification and Regression Training

Misc functions for training and plotting classification and regression models

Functions in caret

Name Description
aucRoc Compute the area under an ROC curve
filterVarImp Calculation of filter-based variable importance
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
diff.resamples Inferential Assessments About Model Performance
plsda Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
resampleHist Plot the resampling distribution of the model statistics
cox2 COX-2 Activity Data
dhfr Dihydrofolate Reductase Inhibitors Data
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
resamples Collation and Visualization of Resampling Results
icr.formula Independent Component Regression
predict.knnreg Predictions from k-Nearest Neighbors Regression Model
confusionMatrix Create a confusion matrix
nearZeroVar Identification of near zero variance predictors
predict.bagEarth Predicted values based on bagged Earth and FDA models
featurePlot Wrapper for Lattice Plotting of Predictor Variables
knn3 k-Nearest Neighbour Classification
postResample Calculates performance across resamples
predictors List predictors used in the model
pottery Pottery from Pre-Classical Sites in Italy
plotClassProbs Plot Predicted Probabilities in Classification Models
rfeControl Controlling the Feature Selection Algorithms
sensitivity Calculate sensitivity, specificity and predictive values
oneSE Selecting tuning Parameters
print.train Print Method for the train Class
findCorrelation Determine highly correlated variables
BloodBrain Blood Brain Barrier Data
modelLookup Descriptions Of Models Available in train()
sbfControl Control Object for Selection By Filtering (SBF)
caret-internal Internal Functions
knnreg k-Nearest Neighbour Regression
maxDissim Maximum Dissimilarity Sampling
lattice.rfe Lattice functions for plotting resampling results of recursive feature selection
dotplot.diff.resamples Lattice Functions for Visualizing Resampling Differences
BoxCoxTrans.default Box-Cox Transformations
createGrid Tuning Parameter Grid
trainControl Control parameters for train
findLinearCombos Determine linear combinations in a matrix
xyplot.resamples Lattice Functions for Visualizing Resampling Results
dotPlot Create a dotplot of variable importance values
varImp Calculation of variable importance for regression and classification models
print.confusionMatrix Print method for confusionMatrix
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
avNNet.default Neural Networks Using Model Averaging
caretSBF Selection By Filtering (SBF) Helper Functions
preProcess Pre-Processing of Predictors
GermanCredit German Credit Data
tecator Fat, Water and Protein Content of Meat Samples
createDataPartition Data Splitting functions
plot.train Plot Method for the train Class
cars Kelly Blue Book resale data for 2005 model year GM cars
bag.default A General Framework For Bagging
histogram.train Lattice functions for plotting resampling results
caretFuncs Backwards Feature Selection Helper Functions
sbf Selection By Filtering (SBF)
prcomp.resamples Principal Components Analysis of Resampling Results
panel.needle Needle Plot Lattice Panel
classDist Compute and predict the distances to class centroids
as.table.confusionMatrix Save Confusion Table Results
format.bagEarth Format 'bagEarth' objects
oil Fatty acid composition of commercial oils
nullModel Fit a simple, non-informative model
plot.varImp.train Plotting variable importance measures
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
resampleSummary Summary of resampled performance estimates
bagFDA Bagged FDA
rfe Backwards Feature Selection
segmentationData Cell Body Segmentation
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
pcaNNet.default Neural Networks with a Principal Component Step
dummyVars Create A Full Set of Dummy Variables
spatialSign Compute the multivariate spatial sign
bagEarth Bagged Earth
predict.train Extract predictions and class probabilities from train objects
confusionMatrix.train Estimate a Resampled Confusion Matrix
predict.knn3 Predictions from k-Nearest Neighbors
roc Compute the points for an ROC curve
summary.bagEarth Summarize a bagged earth or FDA fit
train Fit Predictive Models over Different Tuning Parameters
No Results!

Last month downloads

Details

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/caret)](http://www.rdocumentation.org/packages/caret)