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caret (version 3.13)
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
3.13
License
GPL-2
Maintainer
Max Kuhn
Last Published
December 10th, 2024
Functions in caret (3.13)
Search all functions
format.bagEarth
Format 'bagEarth' objects
train
Fit Predictive Models over Different Tuning Parameters
caret-internal
Internal Functions
findCorrelation
Determine highly correlated variables
createDataPartition
Data Splitting functions
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
plotClassProbs
Plot Predicted Probabilities in Classification Models
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
filterVarImp
Calculation of filter-based variable importance
oil
Fatty acid composition of commercial oils
pottery
Pottery from Pre-Classical Sites in Italy
preProcess
Pre-Processing of Predictors
resampleSummary
Summary of resampled performance estimates
postResample
Calculates performance across resamples
predict.knn3
Predictions from k-Nearest Neighbors
summary.bagEarth
Summarize a bagged earth or FDA fit
knn3
k-Nearest Neighbour Classification
plot.train
Plot Method for the train Class
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
sensitivity
Calculate Sensitivity, Specificity and predictive values
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
roc
Compute the points for an ROC curve
print.confusionMatrix
Print method for confusionMatrix
extractPrediction
Extract predictions and class probabilities from train objects
nearZeroVar
Identification of near zero variance predictors
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
predict.bagEarth
Predicted values based on bagged Earth and FDA models
confusionMatrix
Create a confusion matrix
spatialSign
Compute the multivariate spatial sign
trainControl
Control parameters for train
tecator
Fat, Water and Protein Content of Maat Samples
cox2
COX-2 Activity Data
bagEarth
Bagged Earth
plot.varImp.train
Plotting variable importance measures
findLinearCombos
Determine linear combinations in a matrix
print.train
Print Method for the train Class
plsda
Partial Least Squares Discriminant Analysis
dotPlot
Create a dotplot of variable importance values
resampleHist
Plot the resampling distribution of the model statistics
applyProcessing
Data Processing on Predictor Variables (Deprecated)
maxDissim
Maximum Dissimilarity Sampling
BloodBrain
Blood Brain Barrier Data
createGrid
Tuning Parameter Grid
aucRoc
Compute the area under an ROC curve
varImp
Calculation of variable importance for regression and classification models
bagFDA
Bagged FDA
panel.needle
Needle Plot Lattice Panel