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caret (version 4.62)
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
230,598
Version
4.62
License
GPL-2
Maintainer
Max Kuhn
Last Published
September 10th, 2010
Functions in caret (4.62)
Search all functions
aucRoc
Compute the area under an ROC curve
as.table.confusionMatrix
Save Confusion Table Results
format.bagEarth
Format 'bagEarth' objects
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
print.train
Print Method for the train Class
resamples
Collation and Visualization of Resampling Results
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
createDataPartition
Data Splitting functions
histogram.train
Lattice functions for plotting resampling results
cars
Kelly Blue Book resale data for 2005 model year GM cars
preProcess
Pre-Processing of Predictors
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
oneSE
Selecting tuning Parameters
panel.needle
Needle Plot Lattice Panel
resampleSummary
Summary of resampled performance estimates
caretFuncs
Backwards Feature Selection Helper Functions
confusionMatrix
Create a confusion matrix
diff.resamples
Inferential Assessments About Model Performance
dotPlot
Create a dotplot of variable importance values
oil
Fatty acid composition of commercial oils
nearZeroVar
Identification of near zero variance predictors
predict.bagEarth
Predicted values based on bagged Earth and FDA models
caretSBF
Selection By Filtering (SBF) Helper Functions
icr.formula
Independent Component Regression
modelLookup
Descriptions Of Models Available in train()
nullModel
Fit a simple, non-informative model
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
pcaNNet.default
Neural Networks with a Principal Component Step
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
resampleHist
Plot the resampling distribution of the model statistics
prcomp.resamples
Principal Components Analysis of Resampling Results
findCorrelation
Determine highly correlated variables
rfeControl
Controlling the Feature Selection Algorithms
bagFDA
Bagged FDA
predict.train
Extract predictions and class probabilities from train objects
maxDissim
Maximum Dissimilarity Sampling
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
pottery
Pottery from Pre-Classical Sites in Italy
GermanCredit
German Credit Data
predictors
List predictors used in the model
bag.default
A General Framework For Bagging
predict.knn3
Predictions from k-Nearest Neighbors
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
sbf
Selection By Filtering (SBF)
cox2
COX-2 Activity Data
plotClassProbs
Plot Predicted Probabilities in Classification Models
spatialSign
Compute the multivariate spatial sign
sensitivity
Calculate sensitivity, specificity and predictive values
varImp
Calculation of variable importance for regression and classification models
tecator
Fat, Water and Protein Content of Meat Samples
summary.bagEarth
Summarize a bagged earth or FDA fit
knnreg
k-Nearest Neighbour Regression
BloodBrain
Blood Brain Barrier Data
bagEarth
Bagged Earth
createGrid
Tuning Parameter Grid
findLinearCombos
Determine linear combinations in a matrix
plot.varImp.train
Plotting variable importance measures
postResample
Calculates performance across resamples
rfe
Backwards Feature Selection
roc
Compute the points for an ROC curve
trainControl
Control parameters for train
dhfr
Dihydrofolate Reductase Inhibitors Data
applyProcessing
Data Processing on Predictor Variables (Deprecated)
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
knn3
k-Nearest Neighbour Classification
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
plot.train
Plot Method for the train Class
sbfControl
Control Object for Selection By Filtering (SBF)
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
train
Fit Predictive Models over Different Tuning Parameters
caret-internal
Internal Functions
filterVarImp
Calculation of filter-based variable importance
classDist
Compute and predict the distances to class centroids
print.confusionMatrix
Print method for confusionMatrix