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caret (version 4.41)

Classification and Regression Training

Description

Misc functions for training and plotting classification and regression models

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Version

Install

install.packages('caret')

Monthly Downloads

158,845

Version

4.41

License

GPL-2

Maintainer

Max Kuhn

Last Published

May 22nd, 2010

Functions in caret (4.41)

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