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caret (version 3.25)
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
163,965
Version
3.25
License
GPL-2
Maintainer
Max Kuhn
Last Published
December 10th, 2024
Functions in caret (3.25)
Search all functions
caret-internal
Internal Functions
findLinearCombos
Determine linear combinations in a matrix
bagFDA
Bagged FDA
BloodBrain
Blood Brain Barrier Data
filterVarImp
Calculation of filter-based variable importance
predict.bagEarth
Predicted values based on bagged Earth and FDA models
postResample
Calculates performance across resamples
confusionMatrix
Create a confusion matrix
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
applyProcessing
Data Processing on Predictor Variables (Deprecated)
resampleSummary
Summary of resampled performance estimates
print.confusionMatrix
Print method for confusionMatrix
createGrid
Tuning Parameter Grid
plotClassProbs
Plot Predicted Probabilities in Classification Models
dotPlot
Create a dotplot of variable importance values
format.bagEarth
Format 'bagEarth' objects
cox2
COX-2 Activity Data
plot.varImp.train
Plotting variable importance measures
oil
Fatty acid composition of commercial oils
resampleHist
Plot the resampling distribution of the model statistics
extractPrediction
Extract predictions and class probabilities from train objects
plsda
Partial Least Squares Discriminant Analysis
bagEarth
Bagged Earth
pottery
Pottery from Pre-Classical Sites in Italy
aucRoc
Compute the area under an ROC curve
spatialSign
Compute the multivariate spatial sign
summary.bagEarth
Summarize a bagged earth or FDA fit
varImp
Calculation of variable importance for regression and classification models
createDataPartition
Data Splitting functions
sensitivity
Calculate Sensitivity, Specificity and predictive values
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
nearZeroVar
Identification of near zero variance predictors
trainControl
Control parameters for train
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
predict.knn3
Predictions from k-Nearest Neighbors
panel.needle
Needle Plot Lattice Panel
print.train
Print Method for the train Class
tecator
Fat, Water and Protein Content of Maat Samples
findCorrelation
Determine highly correlated variables
maxDissim
Maximum Dissimilarity Sampling
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
roc
Compute the points for an ROC curve
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
train
Fit Predictive Models over Different Tuning Parameters
plot.train
Plot Method for the train Class
pcaNNet.default
Neural Networks with a Principal Component Step
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
oneSE
Selecting tuning Parameters
preProcess
Pre-Processing of Predictors
knn3
k-Nearest Neighbour Classification