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caret (version 5.02-011)
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
138,220
Version
5.02-011
License
GPL-2
Maintainer
Max Kuhn
Last Published
September 19th, 2011
Functions in caret (5.02-011)
Search all functions
caretFuncs
Backwards Feature Selection Helper Functions
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
resamples
Collation and Visualization of Resampling Results
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
bagFDA
Bagged FDA
dotPlot
Create a dotplot of variable importance values
dhfr
Dihydrofolate Reductase Inhibitors Data
histogram.train
Lattice functions for plotting resampling results
BoxCoxTrans.default
Box-Cox Transformations
bagEarth
Bagged Earth
cars
Kelly Blue Book resale data for 2005 model year GM cars
predict.train
Extract predictions and class probabilities from train objects
GermanCredit
German Credit Data
filterVarImp
Calculation of filter-based variable importance
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
bag.default
A General Framework For Bagging
avNNet.default
Neural Networks Using Model Averaging
diff.resamples
Inferential Assessments About Model Performance
predict.bagEarth
Predicted values based on bagged Earth and FDA models
nullModel
Fit a simple, non-informative model
pcaNNet.default
Neural Networks with a Principal Component Step
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
createDataPartition
Data Splitting functions
plotClassProbs
Plot Predicted Probabilities in Classification Models
dummyVars
Create A Full Set of Dummy Variables
classDist
Compute and predict the distances to class centroids
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
BloodBrain
Blood Brain Barrier Data
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
as.table.confusionMatrix
Save Confusion Table Results
lift
Lift Plot
icr.formula
Independent Component Regression
nearZeroVar
Identification of near zero variance predictors
panel.needle
Needle Plot Lattice Panel
caret-internal
Internal Functions
findCorrelation
Determine highly correlated variables
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
format.bagEarth
Format 'bagEarth' objects
caretSBF
Selection By Filtering (SBF) Helper Functions
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
findLinearCombos
Determine linear combinations in a matrix
resampleHist
Plot the resampling distribution of the model statistics
rfe
Backwards Feature Selection
modelLookup
Descriptions Of Models Available in train()
roc
Compute the points for an ROC curve
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
sensitivity
Calculate sensitivity, specificity and predictive values
cox2
COX-2 Activity Data
segmentationData
Cell Body Segmentation
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
train
Fit Predictive Models over Different Tuning Parameters
knn3
k-Nearest Neighbour Classification
trainControl
Control parameters for train
maxDissim
Maximum Dissimilarity Sampling
preProcess
Pre-Processing of Predictors
sbf
Selection By Filtering (SBF)
knnreg
k-Nearest Neighbour Regression
confusionMatrix.train
Estimate a Resampled Confusion Matrix
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
print.train
Print Method for the train Class
plot.varImp.train
Plotting variable importance measures
postResample
Calculates performance across resamples
tecator
Fat, Water and Protein Content of Meat Samples
rfeControl
Controlling the Feature Selection Algorithms
varImp
Calculation of variable importance for regression and classification models
resampleSummary
Summary of resampled performance estimates
prcomp.resamples
Principal Components Analysis of Resampling Results
pottery
Pottery from Pre-Classical Sites in Italy
oneSE
Selecting tuning Parameters
predict.knn3
Predictions from k-Nearest Neighbors
print.confusionMatrix
Print method for confusionMatrix
confusionMatrix
Create a confusion matrix
aucRoc
Compute the area under an ROC curve
createGrid
Tuning Parameter Grid
oil
Fatty acid composition of commercial oils
sbfControl
Control Object for Selection By Filtering (SBF)
plot.train
Plot Method for the train Class
spatialSign
Compute the multivariate spatial sign
predictors
List predictors used in the model
summary.bagEarth
Summarize a bagged earth or FDA fit