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caret (version 4.78)
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
138,220
Version
4.78
License
GPL-2
Maintainer
Max Kuhn
Last Published
February 9th, 2011
Functions in caret (4.78)
Search all functions
findCorrelation
Determine highly correlated variables
as.table.confusionMatrix
Save Confusion Table Results
maxDissim
Maximum Dissimilarity Sampling
BloodBrain
Blood Brain Barrier Data
bagFDA
Bagged FDA
confusionMatrix
Create a confusion matrix
BoxCoxTrans.default
Box-Cox Transformations
panel.needle
Needle Plot Lattice Panel
modelLookup
Descriptions Of Models Available in train()
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
varImp
Calculation of variable importance for regression and classification models
prcomp.resamples
Principal Components Analysis of Resampling Results
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
train
Fit Predictive Models over Different Tuning Parameters
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
createDataPartition
Data Splitting functions
cox2
COX-2 Activity Data
cars
Kelly Blue Book resale data for 2005 model year GM cars
oneSE
Selecting tuning Parameters
predict.bagEarth
Predicted values based on bagged Earth and FDA models
resampleHist
Plot the resampling distribution of the model statistics
print.train
Print Method for the train Class
classDist
Compute and predict the distances to class centroids
histogram.train
Lattice functions for plotting resampling results
sensitivity
Calculate sensitivity, specificity and predictive values
dhfr
Dihydrofolate Reductase Inhibitors Data
filterVarImp
Calculation of filter-based variable importance
applyProcessing
Data Processing on Predictor Variables (Deprecated)
format.bagEarth
Format 'bagEarth' objects
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
diff.resamples
Inferential Assessments About Model Performance
nearZeroVar
Identification of near zero variance predictors
predict.knn3
Predictions from k-Nearest Neighbors
aucRoc
Compute the area under an ROC curve
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
caretFuncs
Backwards Feature Selection Helper Functions
icr.formula
Independent Component Regression
nullModel
Fit a simple, non-informative model
roc
Compute the points for an ROC curve
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
GermanCredit
German Credit Data
plotClassProbs
Plot Predicted Probabilities in Classification Models
spatialSign
Compute the multivariate spatial sign
sbfControl
Control Object for Selection By Filtering (SBF)
knnreg
k-Nearest Neighbour Regression
predictors
List predictors used in the model
predict.train
Extract predictions and class probabilities from train objects
summary.bagEarth
Summarize a bagged earth or FDA fit
createGrid
Tuning Parameter Grid
plot.varImp.train
Plotting variable importance measures
resamples
Collation and Visualization of Resampling Results
rfe
Backwards Feature Selection
pcaNNet.default
Neural Networks with a Principal Component Step
pottery
Pottery from Pre-Classical Sites in Italy
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
sbf
Selection By Filtering (SBF)
dotPlot
Create a dotplot of variable importance values
segmentationData
Cell Body Segmentation
plot.train
Plot Method for the train Class
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
tecator
Fat, Water and Protein Content of Meat Samples
resampleSummary
Summary of resampled performance estimates
bag.default
A General Framework For Bagging
oil
Fatty acid composition of commercial oils
postResample
Calculates performance across resamples
rfeControl
Controlling the Feature Selection Algorithms
preProcess
Pre-Processing of Predictors
caretSBF
Selection By Filtering (SBF) Helper Functions
knn3
k-Nearest Neighbour Classification
print.confusionMatrix
Print method for confusionMatrix
trainControl
Control parameters for train
caret-internal
Internal Functions
dummyVars
Create A Full Set of Dummy Variables
bagEarth
Bagged Earth
findLinearCombos
Determine linear combinations in a matrix
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes