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caret (version 4.88)
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
4.88
License
GPL-2
Maintainer
Max Kuhn
Last Published
April 30th, 2011
Functions in caret (4.88)
Search all functions
knn3
k-Nearest Neighbour Classification
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
dotPlot
Create a dotplot of variable importance values
GermanCredit
German Credit Data
plot.varImp.train
Plotting variable importance measures
diff.resamples
Inferential Assessments About Model Performance
pottery
Pottery from Pre-Classical Sites in Italy
histogram.train
Lattice functions for plotting resampling results
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
pcaNNet.default
Neural Networks with a Principal Component Step
preProcess
Pre-Processing of Predictors
caret-internal
Internal Functions
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
panel.needle
Needle Plot Lattice Panel
format.bagEarth
Format 'bagEarth' objects
cars
Kelly Blue Book resale data for 2005 model year GM cars
plot.train
Plot Method for the train Class
findLinearCombos
Determine linear combinations in a matrix
sbf
Selection By Filtering (SBF)
rfeControl
Controlling the Feature Selection Algorithms
summary.bagEarth
Summarize a bagged earth or FDA fit
tecator
Fat, Water and Protein Content of Meat Samples
maxDissim
Maximum Dissimilarity Sampling
varImp
Calculation of variable importance for regression and classification models
plotClassProbs
Plot Predicted Probabilities in Classification Models
predictors
List predictors used in the model
caretFuncs
Backwards Feature Selection Helper Functions
oil
Fatty acid composition of commercial oils
predict.train
Extract predictions and class probabilities from train objects
resampleHist
Plot the resampling distribution of the model statistics
nearZeroVar
Identification of near zero variance predictors
modelLookup
Descriptions Of Models Available in train()
cox2
COX-2 Activity Data
bagFDA
Bagged FDA
sensitivity
Calculate sensitivity, specificity and predictive values
confusionMatrix
Create a confusion matrix
BloodBrain
Blood Brain Barrier Data
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
knnreg
k-Nearest Neighbour Regression
bagEarth
Bagged Earth
aucRoc
Compute the area under an ROC curve
bag.default
A General Framework For Bagging
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
createGrid
Tuning Parameter Grid
rfe
Backwards Feature Selection
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
classDist
Compute and predict the distances to class centroids
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
print.confusionMatrix
Print method for confusionMatrix
dummyVars
Create A Full Set of Dummy Variables
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
sbfControl
Control Object for Selection By Filtering (SBF)
as.table.confusionMatrix
Save Confusion Table Results
predict.bagEarth
Predicted values based on bagged Earth and FDA models
prcomp.resamples
Principal Components Analysis of Resampling Results
oneSE
Selecting tuning Parameters
createDataPartition
Data Splitting functions
roc
Compute the points for an ROC curve
resampleSummary
Summary of resampled performance estimates
spatialSign
Compute the multivariate spatial sign
caretSBF
Selection By Filtering (SBF) Helper Functions
icr.formula
Independent Component Regression
BoxCoxTrans.default
Box-Cox Transformations
predict.knn3
Predictions from k-Nearest Neighbors
applyProcessing
Data Processing on Predictor Variables (Deprecated)
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
postResample
Calculates performance across resamples
nullModel
Fit a simple, non-informative model
resamples
Collation and Visualization of Resampling Results
dhfr
Dihydrofolate Reductase Inhibitors Data
print.train
Print Method for the train Class
findCorrelation
Determine highly correlated variables
segmentationData
Cell Body Segmentation
train
Fit Predictive Models over Different Tuning Parameters
trainControl
Control parameters for train
filterVarImp
Calculation of filter-based variable importance