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caret (version 4.06)
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
4.06
License
GPL-2
Maintainer
Max Kuhn
Last Published
January 24th, 2009
Functions in caret (4.06)
Search functions
aucRoc
Compute the area under an ROC curve
as.table.confusionMatrix
Save Confusion Table Results
findCorrelation
Determine highly correlated variables
tecator
Fat, Water and Protein Content of Maat Samples
resampleHist
Plot the resampling distribution of the model statistics
findLinearCombos
Determine linear combinations in a matrix
format.bagEarth
Format 'bagEarth' objects
plot.train
Plot Method for the train Class
bagEarth
Bagged Earth
panel.needle
Needle Plot Lattice Panel
resampleSummary
Summary of resampled performance estimates
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
filterVarImp
Calculation of filter-based variable importance
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
knn3
k-Nearest Neighbour Classification
histogram.train
Lattice functions for plotting resampling results
maxDissim
Maximum Dissimilarity Sampling
oil
Fatty acid composition of commercial oils
BloodBrain
Blood Brain Barrier Data
caret-internal
Internal Functions
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
oneSE
Selecting tuning Parameters
createGrid
Tuning Parameter Grid
predict.bagEarth
Predicted values based on bagged Earth and FDA models
print.train
Print Method for the train Class
sensitivity
Calculate sensitivity, specificity and predictive values
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
bagFDA
Bagged FDA
print.confusionMatrix
Print method for confusionMatrix
dotPlot
Create a dotplot of variable importance values
roc
Compute the points for an ROC curve
nearZeroVar
Identification of near zero variance predictors
preProcess
Pre-Processing of Predictors
plotClassProbs
Plot Predicted Probabilities in Classification Models
postResample
Calculates performance across resamples
trainControl
Control parameters for train
predict.knn3
Predictions from k-Nearest Neighbors
summary.bagEarth
Summarize a bagged earth or FDA fit
createDataPartition
Data Splitting functions
cox2
COX-2 Activity Data
plot.varImp.train
Plotting variable importance measures
varImp
Calculation of variable importance for regression and classification models
predictors
List predictors used in the model
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
applyProcessing
Data Processing on Predictor Variables (Deprecated)
pcaNNet.default
Neural Networks with a Principal Component Step
predict.train
Extract predictions and class probabilities from train objects
pottery
Pottery from Pre-Classical Sites in Italy
confusionMatrix
Create a confusion matrix
spatialSign
Compute the multivariate spatial sign
train
Fit Predictive Models over Different Tuning Parameters