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caret (version 4.75)
Classification and Regression Training
Description
Misc functions for training and plotting classification and regression models
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Install
install.packages('caret')
Monthly Downloads
163,965
Version
4.75
License
GPL-2
Maintainer
Max Kuhn
Last Published
January 3rd, 2011
Functions in caret (4.75)
Search all functions
aucRoc
Compute the area under an ROC curve
predict.bagEarth
Predicted values based on bagged Earth and FDA models
filterVarImp
Calculation of filter-based variable importance
nearZeroVar
Identification of near zero variance predictors
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
as.table.confusionMatrix
Save Confusion Table Results
dhfr
Dihydrofolate Reductase Inhibitors Data
panel.needle
Needle Plot Lattice Panel
bagEarth
Bagged Earth
bagFDA
Bagged FDA
plotClassProbs
Plot Predicted Probabilities in Classification Models
nullModel
Fit a simple, non-informative model
dummyVars
Create A Full Set of Dummy Variables
pottery
Pottery from Pre-Classical Sites in Italy
findLinearCombos
Determine linear combinations in a matrix
preProcess
Pre-Processing of Predictors
BloodBrain
Blood Brain Barrier Data
modelLookup
Descriptions Of Models Available in train()
rfe
Backwards Feature Selection
createDataPartition
Data Splitting functions
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
resampleHist
Plot the resampling distribution of the model statistics
resamples
Collation and Visualization of Resampling Results
maxDissim
Maximum Dissimilarity Sampling
cox2
COX-2 Activity Data
postResample
Calculates performance across resamples
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
print.confusionMatrix
Print method for confusionMatrix
createGrid
Tuning Parameter Grid
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
predict.knn3
Predictions from k-Nearest Neighbors
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
plot.varImp.train
Plotting variable importance measures
confusionMatrix
Create a confusion matrix
applyProcessing
Data Processing on Predictor Variables (Deprecated)
prcomp.resamples
Principal Components Analysis of Resampling Results
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
knn3
k-Nearest Neighbour Classification
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
GermanCredit
German Credit Data
predict.train
Extract predictions and class probabilities from train objects
classDist
Compute and predict the distances to class centroids
diff.resamples
Inferential Assessments About Model Performance
bag.default
A General Framework For Bagging
dotPlot
Create a dotplot of variable importance values
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
pcaNNet.default
Neural Networks with a Principal Component Step
cars
Kelly Blue Book resale data for 2005 model year GM cars
caret-internal
Internal Functions
oil
Fatty acid composition of commercial oils
print.train
Print Method for the train Class
caretFuncs
Backwards Feature Selection Helper Functions
knnreg
k-Nearest Neighbour Regression
caretSBF
Selection By Filtering (SBF) Helper Functions
format.bagEarth
Format 'bagEarth' objects
findCorrelation
Determine highly correlated variables
icr.formula
Independent Component Regression
resampleSummary
Summary of resampled performance estimates
predictors
List predictors used in the model
trainControl
Control parameters for train
sbf
Selection By Filtering (SBF)
tecator
Fat, Water and Protein Content of Meat Samples
sbfControl
Control Object for Selection By Filtering (SBF)
summary.bagEarth
Summarize a bagged earth or FDA fit
train
Fit Predictive Models over Different Tuning Parameters
segmentationData
Cell Body Segmentation
sensitivity
Calculate sensitivity, specificity and predictive values
spatialSign
Compute the multivariate spatial sign
oneSE
Selecting tuning Parameters
varImp
Calculation of variable importance for regression and classification models
rfeControl
Controlling the Feature Selection Algorithms
roc
Compute the points for an ROC curve
histogram.train
Lattice functions for plotting resampling results
plot.train
Plot Method for the train Class