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caret (version 4.44)
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
4.44
License
GPL-2
Maintainer
Max Kuhn
Last Published
July 24th, 2010
Functions in caret (4.44)
Search all functions
BloodBrain
Blood Brain Barrier Data
cox2
COX-2 Activity Data
rfeControl
Controlling the Feature Selection Algorithms
caretFuncs
Backwards Feature Selection Helper Functions
predictors
List predictors used in the model
aucRoc
Compute the area under an ROC curve
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
format.bagEarth
Format 'bagEarth' objects
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
createDataPartition
Data Splitting functions
diff.resamples
Inferential Assessments About Model Performance
findCorrelation
Determine highly correlated variables
histogram.train
Lattice functions for plotting resampling results
nearZeroVar
Identification of near zero variance predictors
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
oil
Fatty acid composition of commercial oils
resamples
Collation and Visualization of Resampling Results
summary.bagEarth
Summarize a bagged earth or FDA fit
spatialSign
Compute the multivariate spatial sign
bagFDA
Bagged FDA
caret-internal
Internal Functions
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
nullModel
Fit a simple, non-informative model
plot.varImp.train
Plotting variable importance measures
cars
Kelly Blue Book resale data for 2005 model year GM cars
as.table.confusionMatrix
Save Confusion Table Results
dhfr
Dihydrofolate Reductase Inhibitors Data
knn3
k-Nearest Neighbour Classification
predict.bagEarth
Predicted values based on bagged Earth and FDA models
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
resampleSummary
Summary of resampled performance estimates
sensitivity
Calculate sensitivity, specificity and predictive values
bagEarth
Bagged Earth
filterVarImp
Calculation of filter-based variable importance
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
pottery
Pottery from Pre-Classical Sites in Italy
confusionMatrix
Create a confusion matrix
pcaNNet.default
Neural Networks with a Principal Component Step
icr.formula
Independent Component Regression
resampleHist
Plot the resampling distribution of the model statistics
roc
Compute the points for an ROC curve
dotPlot
Create a dotplot of variable importance values
knnreg
k-Nearest Neighbour Regression
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
preProcess
Pre-Processing of Predictors
panel.needle
Needle Plot Lattice Panel
print.confusionMatrix
Print method for confusionMatrix
oneSE
Selecting tuning Parameters
train
Fit Predictive Models over Different Tuning Parameters
caretSBF
Selection By Filtering (SBF) Helper Functions
createGrid
Tuning Parameter Grid
postResample
Calculates performance across resamples
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
sbfControl
Control Object for Selection By Filtering (SBF)
sbf
Selection By Filtering (SBF)
tecator
Fat, Water and Protein Content of Meat Samples
trainControl
Control parameters for train
print.train
Print Method for the train Class
findLinearCombos
Determine linear combinations in a matrix
predict.train
Extract predictions and class probabilities from train objects
maxDissim
Maximum Dissimilarity Sampling
plotClassProbs
Plot Predicted Probabilities in Classification Models
predict.knn3
Predictions from k-Nearest Neighbors
varImp
Calculation of variable importance for regression and classification models
rfe
Backwards Feature Selection
applyProcessing
Data Processing on Predictor Variables (Deprecated)
classDist
Compute and predict the distances to class centroids
plot.train
Plot Method for the train Class