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caret (version 3.08)
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
3.08
License
GPL-2
Maintainer
Max Kuhn
Last Published
November 26th, 2007
Functions in caret (3.08)
Search functions
oil
Fatty acid composition of commercial oils
applyProcessing
Data Processing on Predictor Variables
dotPlot
Create a dotplot of variable importance values
maxDissim
Maximum Dissimilarity Sampling
plotClassProbs
Plot Predicted Probabilities in Classification Models
bagEarth
Bagged Earth
createGrid
Tuning Parameter Grid
summary.bagEarth
Summarize a bagged earth or FDA fit
confusionMatrix
Create a confusion matrix
spatialSign
Compute the multivariate spatial sign
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
predict.bagEarth
Predicted values based on bagged Earth and FDA models
plsda
Partial Least Squares Discriminant Analysis
print.confusionMatrix
Print method for confusionMatrix
aucRoc
Compute the area under an ROC curve
bagFDA
Bagged FDA
roc
Compute the points for an ROC curve
format.bagEarth
Format 'bagEarth' objects
train
Fit Predictive Models over Different Tuning Parameters
pottery
Pottery from Pre-Classical Sites in Italy
postResample
Calculates performance across resamples
plot.varImp.train
Plotting variable importance measures
plot.train
Plot Method for the train Class
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
createDataPartition
Data Splitting functions
nearZeroVar
Identification of near zero variance predictors
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
findCorrelation
Determine highly correlated variables
caret-internal
Internal Functions
cox2
COX-2 Activity Data
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
findLinearCombos
Determine linear combinations in a matrix
extractPrediction
Extract predictions and class probabilities from train objects
resampleHist
Plot the resampling distribution of the model statistics
tecator
Fat, Water and Protein Content of Maat Samples
resampleSummary
Summary of resampled performance estimates
varImp
Calculation of variable importance for regression and classification models
panel.needle
Needle Plot Lattice Panel
filterVarImp
Calculation of filter-based variable importance
predict.knn3
Predictions from k-Nearest Neighbors
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
sensitivity
Calculate Sensitivity, Specificity and predictive values
trainControl
Control parameters for train
BloodBrain
Blood Brain Barrier Data
print.train
Print Method for the train Class
knn3
k-Nearest Neighbour Classification