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caret (version 3.16)
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
208,749
Version
3.16
License
GPL-2
Maintainer
Max Kuhn
Last Published
March 21st, 2023
Functions in caret (3.16)
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findLinearCombos
Determine linear combinations in a matrix
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
dotPlot
Create a dotplot of variable importance values
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
nearZeroVar
Identification of near zero variance predictors
findCorrelation
Determine highly correlated variables
plotClassProbs
Plot Predicted Probabilities in Classification Models
applyProcessing
Data Processing on Predictor Variables (Deprecated)
createDataPartition
Data Splitting functions
BloodBrain
Blood Brain Barrier Data
caret-internal
Internal Functions
print.train
Print Method for the train Class
bagEarth
Bagged Earth
extractPrediction
Extract predictions and class probabilities from train objects
createGrid
Tuning Parameter Grid
plot.varImp.train
Plotting variable importance measures
filterVarImp
Calculation of filter-based variable importance
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
confusionMatrix
Create a confusion matrix
oil
Fatty acid composition of commercial oils
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
bagFDA
Bagged FDA
knn3
k-Nearest Neighbour Classification
format.bagEarth
Format 'bagEarth' objects
roc
Compute the points for an ROC curve
predict.knn3
Predictions from k-Nearest Neighbors
resampleSummary
Summary of resampled performance estimates
predict.bagEarth
Predicted values based on bagged Earth and FDA models
tecator
Fat, Water and Protein Content of Maat Samples
postResample
Calculates performance across resamples
spatialSign
Compute the multivariate spatial sign
preProcess
Pre-Processing of Predictors
plot.train
Plot Method for the train Class
plsda
Partial Least Squares Discriminant Analysis
pottery
Pottery from Pre-Classical Sites in Italy
summary.bagEarth
Summarize a bagged earth or FDA fit
sensitivity
Calculate Sensitivity, Specificity and predictive values
trainControl
Control parameters for train
resampleHist
Plot the resampling distribution of the model statistics
varImp
Calculation of variable importance for regression and classification models
aucRoc
Compute the area under an ROC curve
panel.needle
Needle Plot Lattice Panel
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
maxDissim
Maximum Dissimilarity Sampling
train
Fit Predictive Models over Different Tuning Parameters
print.confusionMatrix
Print method for confusionMatrix
cox2
COX-2 Activity Data