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caret (version 4.61)
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
160,352
Version
4.61
License
GPL-2
Maintainer
Max Kuhn
Last Published
September 6th, 2010
Functions in caret (4.61)
Search functions
bagFDA
Bagged FDA
classDist
Compute and predict the distances to class centroids
confusionMatrix
Create a confusion matrix
cox2
COX-2 Activity Data
nearZeroVar
Identification of near zero variance predictors
predict.train
Extract predictions and class probabilities from train objects
plot.train
Plot Method for the train Class
rfeControl
Controlling the Feature Selection Algorithms
dhfr
Dihydrofolate Reductase Inhibitors Data
format.bagEarth
Format 'bagEarth' objects
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
plot.varImp.train
Plotting variable importance measures
predict.knn3
Predictions from k-Nearest Neighbors
caretSBF
Selection By Filtering (SBF) Helper Functions
sbfControl
Control Object for Selection By Filtering (SBF)
dotPlot
Create a dotplot of variable importance values
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
oil
Fatty acid composition of commercial oils
maxDissim
Maximum Dissimilarity Sampling
preProcess
Pre-Processing of Predictors
roc
Compute the points for an ROC curve
summary.bagEarth
Summarize a bagged earth or FDA fit
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
train
Fit Predictive Models over Different Tuning Parameters
print.confusionMatrix
Print method for confusionMatrix
GermanCredit
German Credit Data
knn3
k-Nearest Neighbour Classification
createGrid
Tuning Parameter Grid
pcaNNet.default
Neural Networks with a Principal Component Step
resampleSummary
Summary of resampled performance estimates
sbf
Selection By Filtering (SBF)
varImp
Calculation of variable importance for regression and classification models
findLinearCombos
Determine linear combinations in a matrix
predictors
List predictors used in the model
resamples
Collation and Visualization of Resampling Results
tecator
Fat, Water and Protein Content of Meat Samples
caret-internal
Internal Functions
findCorrelation
Determine highly correlated variables
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
icr.formula
Independent Component Regression
filterVarImp
Calculation of filter-based variable importance
prcomp.resamples
Principal Components Analysis of Resampling Results
sensitivity
Calculate sensitivity, specificity and predictive values
caretFuncs
Backwards Feature Selection Helper Functions
as.table.confusionMatrix
Save Confusion Table Results
aucRoc
Compute the area under an ROC curve
oneSE
Selecting tuning Parameters
knnreg
k-Nearest Neighbour Regression
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
trainControl
Control parameters for train
spatialSign
Compute the multivariate spatial sign
resampleHist
Plot the resampling distribution of the model statistics
postResample
Calculates performance across resamples
rfe
Backwards Feature Selection
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
print.train
Print Method for the train Class
applyProcessing
Data Processing on Predictor Variables (Deprecated)
bagEarth
Bagged Earth
cars
Kelly Blue Book resale data for 2005 model year GM cars
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
panel.needle
Needle Plot Lattice Panel
nullModel
Fit a simple, non-informative model
plotClassProbs
Plot Predicted Probabilities in Classification Models
predict.bagEarth
Predicted values based on bagged Earth and FDA models
BloodBrain
Blood Brain Barrier Data
bag.default
A General Framework For Bagging
createDataPartition
Data Splitting functions
diff.resamples
Inferential Assessments About Model Performance
histogram.train
Lattice functions for plotting resampling results
modelLookup
Descriptions Of Models Available in train()
pottery
Pottery from Pre-Classical Sites in Italy
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis