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caret (version 4.65)
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
4.65
License
GPL-2
Maintainer
Max Kuhn
Last Published
October 9th, 2010
Functions in caret (4.65)
Search all functions
rfe
Backwards Feature Selection
knn3
k-Nearest Neighbour Classification
maxDissim
Maximum Dissimilarity Sampling
train
Fit Predictive Models over Different Tuning Parameters
format.bagEarth
Format 'bagEarth' objects
tecator
Fat, Water and Protein Content of Meat Samples
spatialSign
Compute the multivariate spatial sign
cars
Kelly Blue Book resale data for 2005 model year GM cars
GermanCredit
German Credit Data
as.table.confusionMatrix
Save Confusion Table Results
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
findLinearCombos
Determine linear combinations in a matrix
confusionMatrix
Create a confusion matrix
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
icr.formula
Independent Component Regression
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
caretSBF
Selection By Filtering (SBF) Helper Functions
plotClassProbs
Plot Predicted Probabilities in Classification Models
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
trainControl
Control parameters for train
plot.train
Plot Method for the train Class
sensitivity
Calculate sensitivity, specificity and predictive values
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
postResample
Calculates performance across resamples
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
cox2
COX-2 Activity Data
predict.train
Extract predictions and class probabilities from train objects
BloodBrain
Blood Brain Barrier Data
dotPlot
Create a dotplot of variable importance values
findCorrelation
Determine highly correlated variables
diff.resamples
Inferential Assessments About Model Performance
histogram.train
Lattice functions for plotting resampling results
knnreg
k-Nearest Neighbour Regression
modelLookup
Descriptions Of Models Available in train()
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
predict.knn3
Predictions from k-Nearest Neighbors
predict.bagEarth
Predicted values based on bagged Earth and FDA models
nearZeroVar
Identification of near zero variance predictors
pottery
Pottery from Pre-Classical Sites in Italy
sbfControl
Control Object for Selection By Filtering (SBF)
oneSE
Selecting tuning Parameters
sbf
Selection By Filtering (SBF)
summary.bagEarth
Summarize a bagged earth or FDA fit
oil
Fatty acid composition of commercial oils
plot.varImp.train
Plotting variable importance measures
pcaNNet.default
Neural Networks with a Principal Component Step
resampleSummary
Summary of resampled performance estimates
panel.needle
Needle Plot Lattice Panel
bag.default
A General Framework For Bagging
aucRoc
Compute the area under an ROC curve
resampleHist
Plot the resampling distribution of the model statistics
classDist
Compute and predict the distances to class centroids
rfeControl
Controlling the Feature Selection Algorithms
prcomp.resamples
Principal Components Analysis of Resampling Results
caret-internal
Internal Functions
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
createDataPartition
Data Splitting functions
predictors
List predictors used in the model
preProcess
Pre-Processing of Predictors
resamples
Collation and Visualization of Resampling Results
nullModel
Fit a simple, non-informative model
applyProcessing
Data Processing on Predictor Variables (Deprecated)
createGrid
Tuning Parameter Grid
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
caretFuncs
Backwards Feature Selection Helper Functions
filterVarImp
Calculation of filter-based variable importance
varImp
Calculation of variable importance for regression and classification models
roc
Compute the points for an ROC curve
bagFDA
Bagged FDA
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
dhfr
Dihydrofolate Reductase Inhibitors Data
bagEarth
Bagged Earth
print.confusionMatrix
Print method for confusionMatrix
print.train
Print Method for the train Class