caret: Classification and Regression Training

Misc functions for training and plotting classification and regression models

AuthorMax Kuhn. Contributions from Jed Wing, Steve Weston, Andre Williams, Chris Keefer, Allan Engelhardt, Tony Cooper, Zachary Mayer and the R Core Team
Date of publication2014-06-03 16:38:57
MaintainerMax Kuhn <Max.Kuhn@pfizer.com>
LicenseGPL-2
Version6.0-30
http://caret.r-forge.r-project.org/

View on R-Forge

Man pages

as.table.confusionMatrix: Save Confusion Table Results

avNNet: Neural Networks Using Model Averaging

bag: A General Framework For Bagging

bagEarth: Bagged Earth

bagFDA: Bagged FDA

BloodBrain: Blood Brain Barrier Data

BoxCoxTrans: Box-Cox and Exponential Transformations

calibration: Probability Calibration Plot

caret-internal: Internal Functions

cars: Kelly Blue Book resale data for 2005 model year GM cars

classDist: Compute and predict the distances to class centroids

confusionMatrix: Create a confusion matrix

confusionMatrix.train: Estimate a Resampled Confusion Matrix

cox2: COX-2 Activity Data

createDataPartition: Data Splitting functions

dhfr: Dihydrofolate Reductase Inhibitors Data

diff.resamples: Inferential Assessments About Model Performance

dotplot.varImp.train: Create a dotplot of variable importance values

downSample: Down- and Up-Sampling Imbalanced Data

dummyVars: Create A Full Set of Dummy Variables

extractPrediction: Extract predictions and class probabilities from train...

featurePlot: Wrapper for Lattice Plotting of Predictor Variables

filterVarImp: Calculation of filter-based variable importance

findCorrelation: Determine highly correlated variables

findLinearCombos: Determine linear combinations in a matrix

format.bagEarth: Format 'bagEarth' objects

generateExprVal.method.trimMean: Generate Expression Values from Probes

GermanCredit: German Credit Data

icr: Independent Component Regression

knn3: k-Nearest Neighbour Classification

knnreg: k-Nearest Neighbour Regression

lattice: Lattice functions for plotting resampling results

lattice.diff.resamples: Lattice Functions for Visualizing Resampling Differences

lattice.resamples: Lattice Functions for Visualizing Resampling Results

lattice.rfe: Lattice functions for plotting resampling results of...

lift: Lift Plot

maxDissim: Maximum Dissimilarity Sampling

mdrr: Multidrug Resistance Reversal (MDRR) Agent Data

modelLookup: Tools for Models Available in 'train'

models: A List of Available Models in train

nearZeroVar: Identification of near zero variance predictors

normalize2Reference: Quantile Normalize Columns of a Matrix Based on a Reference...

normalize.AffyBatch.normalize2Reference: Quantile Normalization to a Reference Distribution

nullModel: Fit a simple, non-informative model

oil: Fatty acid composition of commercial oils

panel.lift: Lattice Panel Functions for Lift Plots

panel.needle: Needle Plot Lattice Panel

pcaNNet: Neural Networks with a Principal Component Step

plotClassProbs: Plot Predicted Probabilities in Classification Models

plotObsVsPred: Plot Observed versus Predicted Results in Regression and...

plot.rfe: Plot RFE Performance Profiles

plot.train: Plot Method for the train Class

plot.varImp.train: Plotting variable importance measures

plsda: Partial Least Squares and Sparse Partial Least Squares...

postResample: Calculates performance across resamples

pottery: Pottery from Pre-Classical Sites in Italy

prcomp.resamples: Principal Components Analysis of Resampling Results

predict.bagEarth: Predicted values based on bagged Earth and FDA models

predict.knn3: Predictions from k-Nearest Neighbors

predict.knnreg: Predictions from k-Nearest Neighbors Regression Model

predictors: List predictors used in the model

preProcess: Pre-Processing of Predictors

print.confusionMatrix: Print method for confusionMatrix

print.train: Print Method for the train Class

resampleHist: Plot the resampling distribution of the model statistics

resamples: Collation and Visualization of Resampling Results

resampleSummary: Summary of resampled performance estimates

rfe: Backwards Feature Selection

rfeControl: Controlling the Feature Selection Algorithms

rfeFunctions: Backwards Feature Selection Helper Functions

sbf: Selection By Filtering (SBF)

sbfControl: Control Object for Selection By Filtering (SBF)

sbfFunctions: Selection By Filtering (SBF) Helper Functions

segmentationData: Cell Body Segmentation

selection: Selecting tuning Parameters

sensitivity: Calculate sensitivity, specificity and predictive values

spatialSign: Compute the multivariate spatial sign

summary.bagEarth: Summarize a bagged earth or FDA fit

tecator: Fat, Water and Protein Content of Meat Samples

train: Fit Predictive Models over Different Tuning Parameters

trainControl: Control parameters for train

twoClassSim: Two-Class Simulations

update.train: Update or Re-fit a Model

varImp: Calculation of variable importance for regression and...

Files in this package

caret/.Rinstignore
caret/DESCRIPTION
caret/NAMESPACE
caret/R
caret/R/BoxCoxTrans.R caret/R/PLS.R caret/R/aaa.R caret/R/adaptive.R caret/R/additive.R caret/R/aucRoc.R caret/R/avNNet.R caret/R/bag.R caret/R/bagEarth.R caret/R/bagFDA.R caret/R/basic2x2Stats.R caret/R/calibration.R caret/R/caretTheme.R caret/R/classDist.R caret/R/classLevels.R caret/R/confusionMatrix.R caret/R/createDataPartition.R caret/R/createFolds.R caret/R/createModel.R caret/R/createResample.R caret/R/createTimeSlices.R caret/R/diag.R caret/R/dotplot.varImp.train.R caret/R/dummyVar.R caret/R/expoTrans.R caret/R/extractPrediction.R caret/R/extractProb.R caret/R/featurePlot.R caret/R/filterVarImp.R caret/R/findCorrelation.R caret/R/findLinearCombos.R caret/R/format.bagEarth.R caret/R/generateExprVal.method.trimMean.R caret/R/getTrainPerf.R caret/R/ggplot.R caret/R/icr.R caret/R/knn3.R caret/R/knn3Train.R caret/R/knnreg.R caret/R/lattice.train.R caret/R/lift.R caret/R/maxDissim.R caret/R/misc.R caret/R/modelLookup.R caret/R/nearZeroVar.R caret/R/negPredValue.R caret/R/normalize.AffyBatch.normalize2Reference.R caret/R/normalize2Reference.R caret/R/panel.needle.R caret/R/pcaNNet.R caret/R/plot.train.R caret/R/plot.varImp.train.R caret/R/plotClassProbs.R caret/R/plotObsVsPred.R caret/R/plsda.R caret/R/posPredValue.R caret/R/postResample.R caret/R/preProcess.R caret/R/predict.PLS.R caret/R/predict.train.R caret/R/predictionFunction.R caret/R/predictors.R caret/R/print.confusionMatrix.R caret/R/print.mars.R caret/R/print.train.R caret/R/print.varImp.train.R caret/R/probFunction.R caret/R/resampleHist.R caret/R/resampleSummary.R caret/R/resampleWrapper.R caret/R/resamples.R caret/R/rfe.R caret/R/roc.R caret/R/rocPoint.R caret/R/sampling.R caret/R/selectByFilter.R caret/R/selection.R caret/R/sensitivity.R caret/R/sortImp.R caret/R/spatialSign.R caret/R/specificty.R caret/R/splsda.R caret/R/suggestions.R caret/R/train.default.R caret/R/trainControl.R caret/R/twoClassSim.R caret/R/updates.R caret/R/varImp.R caret/R/varImp.train.R caret/R/workflows.R
caret/data
caret/data/BloodBrain.RData
caret/data/GermanCredit.RData
caret/data/cars.RData
caret/data/cox2.RData
caret/data/datalist
caret/data/dhfr.RData
caret/data/mdrr.RData
caret/data/oil.RData
caret/data/pottery.RData
caret/data/segmentationData.RData
caret/data/tecator.RData
caret/inst
caret/inst/NEWS.Rd
caret/inst/models
caret/inst/models/models.RData
caret/man
caret/man/BloodBrain.Rd caret/man/BoxCoxTrans.Rd caret/man/GermanCredit.Rd caret/man/as.table.confusionMatrix.Rd caret/man/avNNet.Rd caret/man/bag.Rd caret/man/bagEarth.Rd caret/man/bagFDA.Rd caret/man/calibration.Rd caret/man/caret-internal.Rd caret/man/cars.Rd caret/man/classDist.Rd caret/man/confusionMatrix.Rd caret/man/confusionMatrix.train.Rd caret/man/cox2.Rd caret/man/createDataPartition.Rd caret/man/dhfr.Rd caret/man/diff.resamples.Rd caret/man/dotplot.varImp.train.Rd caret/man/downSample.Rd caret/man/dummyVars.Rd caret/man/extractPrediction.Rd caret/man/featurePlot.Rd caret/man/filterVarImp.Rd caret/man/findCorrelation.Rd caret/man/findLinearCombos.Rd caret/man/format.bagEarth.Rd caret/man/generateExprVal.method.trimMean.Rd caret/man/icr.Rd caret/man/knn3.Rd caret/man/knnreg.Rd caret/man/lattice.Rd caret/man/lattice.diff.resamples.Rd caret/man/lattice.resamples.Rd caret/man/lattice.rfe.Rd caret/man/lift.Rd caret/man/maxDissim.Rd caret/man/mdrr.Rd caret/man/modelLookup.Rd caret/man/models.Rd caret/man/nearZeroVar.Rd caret/man/normalize.AffyBatch.normalize2Reference.Rd caret/man/normalize2Reference.Rd caret/man/nullModel.Rd caret/man/oil.Rd caret/man/panel.lift.Rd caret/man/panel.needle.Rd caret/man/pcaNNet.Rd caret/man/plot.rfe.Rd caret/man/plot.train.Rd caret/man/plot.varImp.train.Rd caret/man/plotClassProbs.Rd caret/man/plotObsVsPred.Rd caret/man/plsda.Rd caret/man/postResample.Rd caret/man/pottery.Rd caret/man/prcomp.resamples.Rd caret/man/preProcess.Rd caret/man/predict.bagEarth.Rd caret/man/predict.knn3.Rd caret/man/predict.knnreg.Rd caret/man/predictors.Rd caret/man/print.confusionMatrix.Rd caret/man/print.train.Rd caret/man/resampleHist.Rd caret/man/resampleSummary.Rd caret/man/resamples.Rd caret/man/rfe.Rd caret/man/rfeControl.Rd caret/man/rfeFunctions.Rd caret/man/sbf.Rd caret/man/sbfControl.Rd caret/man/sbfFunctions.Rd caret/man/segmentationData.Rd caret/man/selection.Rd caret/man/sensitivity.Rd caret/man/spatialSign.Rd caret/man/summary.bagEarth.Rd caret/man/tecator.Rd caret/man/train.Rd caret/man/trainControl.Rd caret/man/twoClassSim.Rd caret/man/update.train.Rd caret/man/varImp.Rd
caret/src
caret/src/caret.c
caret/vignettes
caret/vignettes/caret.Rnw
caret/vignettes/caret.pdf

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.