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caret (version 4.36)
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
231,168
Version
4.36
License
GPL-2
Maintainer
Max Kuhn
Last Published
April 18th, 2010
Functions in caret (4.36)
Search all functions
sensitivity
Calculate sensitivity, specificity and predictive values
knn3
k-Nearest Neighbour Classification
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
train
Fit Predictive Models over Different Tuning Parameters
rfeControl
Controlling the Feature Selection Algorithms
aucRoc
Compute the area under an ROC curve
caretSBF
Selection By Filtering (SBF) Helper Functions
predict.knn3
Predictions from k-Nearest Neighbors
oil
Fatty acid composition of commercial oils
print.confusionMatrix
Print method for confusionMatrix
print.train
Print Method for the train Class
summary.bagEarth
Summarize a bagged earth or FDA fit
filterVarImp
Calculation of filter-based variable importance
nullModel
Fit a simple, non-informative model
caret-internal
Internal Functions
resampleHist
Plot the resampling distribution of the model statistics
nearZeroVar
Identification of near zero variance predictors
sbfControl
Control Object for Selection By Filtering (SBF)
histogram.train
Lattice functions for plotting resampling results
resampleSummary
Summary of resampled performance estimates
predict.train
Extract predictions and class probabilities from train objects
maxDissim
Maximum Dissimilarity Sampling
caretFuncs
Backwards Feature Selection Helper Functions
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
confusionMatrix
Create a confusion matrix
pcaNNet.default
Neural Networks with a Principal Component Step
rfe
Backwards Feature Selection
pottery
Pottery from Pre-Classical Sites in Italy
as.table.confusionMatrix
Save Confusion Table Results
bagEarth
Bagged Earth
roc
Compute the points for an ROC curve
tecator
Fat, Water and Protein Content of Meat Samples
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
createDataPartition
Data Splitting functions
findLinearCombos
Determine linear combinations in a matrix
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
panel.needle
Needle Plot Lattice Panel
spatialSign
Compute the multivariate spatial sign
plot.train
Plot Method for the train Class
preProcess
Pre-Processing of Predictors
dotPlot
Create a dotplot of variable importance values
plotClassProbs
Plot Predicted Probabilities in Classification Models
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
varImp
Calculation of variable importance for regression and classification models
trainControl
Control parameters for train
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
predict.bagEarth
Predicted values based on bagged Earth and FDA models
knnreg
k-Nearest Neighbour Regression
sbf
Selection By Filtering (SBF)
findCorrelation
Determine highly correlated variables
BloodBrain
Blood Brain Barrier Data
applyProcessing
Data Processing on Predictor Variables (Deprecated)
cox2
COX-2 Activity Data
format.bagEarth
Format 'bagEarth' objects
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
oneSE
Selecting tuning Parameters
bagFDA
Bagged FDA
postResample
Calculates performance across resamples
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
predictors
List predictors used in the model
classDist
Compute and predict the distances to class centroids
createGrid
Tuning Parameter Grid
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
plot.varImp.train
Plotting variable importance measures