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caret (version 4.25)
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
158,845
Version
4.25
License
GPL-2
Maintainer
Max Kuhn
Last Published
October 6th, 2009
Functions in caret (4.25)
Search all functions
findLinearCombos
Determine linear combinations in a matrix
BloodBrain
Blood Brain Barrier Data
as.table.confusionMatrix
Save Confusion Table Results
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
knn3
k-Nearest Neighbour Classification
findCorrelation
Determine highly correlated variables
knnreg
k-Nearest Neighbour Regression
dotPlot
Create a dotplot of variable importance values
caret-internal
Internal Functions
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
sensitivity
Calculate sensitivity, specificity and predictive values
maxDissim
Maximum Dissimilarity Sampling
classDist
Compute and predict the distances to class centroids
spatialSign
Compute the multivariate spatial sign
plot.train
Plot Method for the train Class
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
preProcess
Pre-Processing of Predictors
createGrid
Tuning Parameter Grid
bagFDA
Bagged FDA
histogram.train
Lattice functions for plotting resampling results
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
filterVarImp
Calculation of filter-based variable importance
roc
Compute the points for an ROC curve
plotClassProbs
Plot Predicted Probabilities in Classification Models
panel.needle
Needle Plot Lattice Panel
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
trainControl
Control parameters for train
resampleSummary
Summary of resampled performance estimates
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
tecator
Fat, Water and Protein Content of Maat Samples
rfeControl
Controlling the Feature Selection Algorithms
format.bagEarth
Format 'bagEarth' objects
predict.bagEarth
Predicted values based on bagged Earth and FDA models
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
bagEarth
Bagged Earth
predict.train
Extract predictions and class probabilities from train objects
varImp
Calculation of variable importance for regression and classification models
summary.bagEarth
Summarize a bagged earth or FDA fit
print.train
Print Method for the train Class
cox2
COX-2 Activity Data
pcaNNet.default
Neural Networks with a Principal Component Step
caretFuncs
Backwards Feature Selection Helper Functions
confusionMatrix
Create a confusion matrix
pottery
Pottery from Pre-Classical Sites in Italy
aucRoc
Compute the area under an ROC curve
predictors
List predictors used in the model
oneSE
Selecting tuning Parameters
oil
Fatty acid composition of commercial oils
predict.knn3
Predictions from k-Nearest Neighbors
postResample
Calculates performance across resamples
resampleHist
Plot the resampling distribution of the model statistics
plot.varImp.train
Plotting variable importance measures
train
Fit Predictive Models over Different Tuning Parameters
createDataPartition
Data Splitting functions
nearZeroVar
Identification of near zero variance predictors
applyProcessing
Data Processing on Predictor Variables (Deprecated)
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
rfe
Backwards Feature Selection
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
print.confusionMatrix
Print method for confusionMatrix