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caret (version 4.47)
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
148,125
Version
4.47
License
GPL-2
Maintainer
Max Kuhn
Last Published
August 5th, 2010
Functions in caret (4.47)
Search all functions
GermanCredit
German Credit Data
predictors
List predictors used in the model
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
cars
Kelly Blue Book resale data for 2005 model year GM cars
train
Fit Predictive Models over Different Tuning Parameters
knnreg
k-Nearest Neighbour Regression
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
createDataPartition
Data Splitting functions
createGrid
Tuning Parameter Grid
findLinearCombos
Determine linear combinations in a matrix
as.table.confusionMatrix
Save Confusion Table Results
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
BloodBrain
Blood Brain Barrier Data
roc
Compute the points for an ROC curve
applyProcessing
Data Processing on Predictor Variables (Deprecated)
oil
Fatty acid composition of commercial oils
diff.resamples
Inferential Assessments About Model Performance
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
nullModel
Fit a simple, non-informative model
spatialSign
Compute the multivariate spatial sign
oneSE
Selecting tuning Parameters
dotPlot
Create a dotplot of variable importance values
trainControl
Control parameters for train
predict.train
Extract predictions and class probabilities from train objects
resamples
Collation and Visualization of Resampling Results
caretFuncs
Backwards Feature Selection Helper Functions
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
rfe
Backwards Feature Selection
sensitivity
Calculate sensitivity, specificity and predictive values
sbfControl
Control Object for Selection By Filtering (SBF)
confusionMatrix
Create a confusion matrix
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
findCorrelation
Determine highly correlated variables
predict.bagEarth
Predicted values based on bagged Earth and FDA models
caret-internal
Internal Functions
classDist
Compute and predict the distances to class centroids
dhfr
Dihydrofolate Reductase Inhibitors Data
histogram.train
Lattice functions for plotting resampling results
pcaNNet.default
Neural Networks with a Principal Component Step
resampleSummary
Summary of resampled performance estimates
plotClassProbs
Plot Predicted Probabilities in Classification Models
caretSBF
Selection By Filtering (SBF) Helper Functions
tecator
Fat, Water and Protein Content of Meat Samples
varImp
Calculation of variable importance for regression and classification models
bag.default
A General Framework For Bagging
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
print.confusionMatrix
Print method for confusionMatrix
print.train
Print Method for the train Class
preProcess
Pre-Processing of Predictors
postResample
Calculates performance across resamples
bagEarth
Bagged Earth
plot.train
Plot Method for the train Class
sbf
Selection By Filtering (SBF)
cox2
COX-2 Activity Data
resampleHist
Plot the resampling distribution of the model statistics
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
format.bagEarth
Format 'bagEarth' objects
plot.varImp.train
Plotting variable importance measures
bagFDA
Bagged FDA
aucRoc
Compute the area under an ROC curve
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
icr.formula
Independent Component Regression
nearZeroVar
Identification of near zero variance predictors
knn3
k-Nearest Neighbour Classification
pottery
Pottery from Pre-Classical Sites in Italy
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
filterVarImp
Calculation of filter-based variable importance
maxDissim
Maximum Dissimilarity Sampling
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
predict.knn3
Predictions from k-Nearest Neighbors
panel.needle
Needle Plot Lattice Panel
rfeControl
Controlling the Feature Selection Algorithms
summary.bagEarth
Summarize a bagged earth or FDA fit