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caret (version 4.41)
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
4.41
License
GPL-2
Maintainer
Max Kuhn
Last Published
May 22nd, 2010
Functions in caret (4.41)
Search functions
cox2
COX-2 Activity Data
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
knnreg
k-Nearest Neighbour Regression
preProcess
Pre-Processing of Predictors
predictors
List predictors used in the model
print.confusionMatrix
Print method for confusionMatrix
resampleSummary
Summary of resampled performance estimates
roc
Compute the points for an ROC curve
varImp
Calculation of variable importance for regression and classification models
aucRoc
Compute the area under an ROC curve
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
spatialSign
Compute the multivariate spatial sign
tecator
Fat, Water and Protein Content of Meat Samples
createDataPartition
Data Splitting functions
as.table.confusionMatrix
Save Confusion Table Results
findLinearCombos
Determine linear combinations in a matrix
knn3
k-Nearest Neighbour Classification
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
pcaNNet.default
Neural Networks with a Principal Component Step
plotClassProbs
Plot Predicted Probabilities in Classification Models
plot.varImp.train
Plotting variable importance measures
caretSBF
Selection By Filtering (SBF) Helper Functions
rfeControl
Controlling the Feature Selection Algorithms
rfe
Backwards Feature Selection
diff.resamples
Inferential Assessments About Model Performance
histogram.train
Lattice functions for plotting resampling results
maxDissim
Maximum Dissimilarity Sampling
print.train
Print Method for the train Class
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
sbfControl
Control Object for Selection By Filtering (SBF)
confusionMatrix
Create a confusion matrix
createGrid
Tuning Parameter Grid
bagFDA
Bagged FDA
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
postResample
Calculates performance across resamples
pottery
Pottery from Pre-Classical Sites in Italy
resampleHist
Plot the resampling distribution of the model statistics
resamples
Collation and Visualization of Resampling Results
sbf
Selection By Filtering (SBF)
bagEarth
Bagged Earth
BloodBrain
Blood Brain Barrier Data
applyProcessing
Data Processing on Predictor Variables (Deprecated)
caret-internal
Internal Functions
cars
Kelly Blue Book resale data for 2005 model year GM cars
dhfr
Dihydrofolate Reductase Inhibitors Data
predict.train
Extract predictions and class probabilities from train objects
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
filterVarImp
Calculation of filter-based variable importance
oil
Fatty acid composition of commercial oils
panel.needle
Needle Plot Lattice Panel
nearZeroVar
Identification of near zero variance predictors
sensitivity
Calculate sensitivity, specificity and predictive values
dotPlot
Create a dotplot of variable importance values
plot.train
Plot Method for the train Class
trainControl
Control parameters for train
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
format.bagEarth
Format 'bagEarth' objects
predict.bagEarth
Predicted values based on bagged Earth and FDA models
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
classDist
Compute and predict the distances to class centroids
nullModel
Fit a simple, non-informative model
oneSE
Selecting tuning Parameters
caretFuncs
Backwards Feature Selection Helper Functions
train
Fit Predictive Models over Different Tuning Parameters
findCorrelation
Determine highly correlated variables
predict.knn3
Predictions from k-Nearest Neighbors
summary.bagEarth
Summarize a bagged earth or FDA fit
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data