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caret (version 4.83)
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
4.83
License
GPL-2
Maintainer
Max Kuhn
Last Published
April 1st, 2011
Functions in caret (4.83)
Search all functions
plotClassProbs
Plot Predicted Probabilities in Classification Models
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
createDataPartition
Data Splitting functions
resampleSummary
Summary of resampled performance estimates
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
cars
Kelly Blue Book resale data for 2005 model year GM cars
findCorrelation
Determine highly correlated variables
bag.default
A General Framework For Bagging
BoxCoxTrans.default
Box-Cox Transformations
applyProcessing
Data Processing on Predictor Variables (Deprecated)
prcomp.resamples
Principal Components Analysis of Resampling Results
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
format.bagEarth
Format 'bagEarth' objects
print.train
Print Method for the train Class
trainControl
Control parameters for train
caretFuncs
Backwards Feature Selection Helper Functions
varImp
Calculation of variable importance for regression and classification models
train
Fit Predictive Models over Different Tuning Parameters
knn3
k-Nearest Neighbour Classification
knnreg
k-Nearest Neighbour Regression
predict.train
Extract predictions and class probabilities from train objects
plot.train
Plot Method for the train Class
oil
Fatty acid composition of commercial oils
segmentationData
Cell Body Segmentation
predict.knn3
Predictions from k-Nearest Neighbors
confusionMatrix
Create a confusion matrix
print.confusionMatrix
Print method for confusionMatrix
oneSE
Selecting tuning Parameters
roc
Compute the points for an ROC curve
dummyVars
Create A Full Set of Dummy Variables
caretSBF
Selection By Filtering (SBF) Helper Functions
modelLookup
Descriptions Of Models Available in train()
resamples
Collation and Visualization of Resampling Results
sbf
Selection By Filtering (SBF)
caret-internal
Internal Functions
diff.resamples
Inferential Assessments About Model Performance
spatialSign
Compute the multivariate spatial sign
GermanCredit
German Credit Data
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
bagEarth
Bagged Earth
icr.formula
Independent Component Regression
filterVarImp
Calculation of filter-based variable importance
postResample
Calculates performance across resamples
sensitivity
Calculate sensitivity, specificity and predictive values
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
nearZeroVar
Identification of near zero variance predictors
BloodBrain
Blood Brain Barrier Data
plot.varImp.train
Plotting variable importance measures
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
preProcess
Pre-Processing of Predictors
aucRoc
Compute the area under an ROC curve
dotPlot
Create a dotplot of variable importance values
findLinearCombos
Determine linear combinations in a matrix
pottery
Pottery from Pre-Classical Sites in Italy
pcaNNet.default
Neural Networks with a Principal Component Step
nullModel
Fit a simple, non-informative model
predictors
List predictors used in the model
as.table.confusionMatrix
Save Confusion Table Results
rfeControl
Controlling the Feature Selection Algorithms
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
rfe
Backwards Feature Selection
maxDissim
Maximum Dissimilarity Sampling
tecator
Fat, Water and Protein Content of Meat Samples
summary.bagEarth
Summarize a bagged earth or FDA fit
bagFDA
Bagged FDA
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
resampleHist
Plot the resampling distribution of the model statistics
sbfControl
Control Object for Selection By Filtering (SBF)
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
classDist
Compute and predict the distances to class centroids
createGrid
Tuning Parameter Grid
dhfr
Dihydrofolate Reductase Inhibitors Data
cox2
COX-2 Activity Data
panel.needle
Needle Plot Lattice Panel
histogram.train
Lattice functions for plotting resampling results
predict.bagEarth
Predicted values based on bagged Earth and FDA models