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caret (version 2.27)
Classification and Regression Training
Description
Misc functions for training and plotting classification and regression models
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2.27
Install
install.packages('caret')
Monthly Downloads
208,749
Version
2.27
License
GPL 2.0
Maintainer
Max Kuhn
Last Published
March 21st, 2023
Functions in caret (2.27)
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oil
Fatty acid composition of commercial oils
findCorrelation
Determine highly correlated variables
filterVarImp
Calculation of filter-based variable importance
maxDissim
Maximum Dissimilarity Sampling
plotClassProbs
Plot Predicted Probabilities in Classification Models
bagFDA
Bagged FDA
tecator
Fat, Water and Protein Content of Maat Samples
plot.varImp.train
Plotting variable importance measures
plsda
Partial Least Squares Discriminant Analysis
print.train
Print Method for the train Class
createDataPartition
Data Splitting functions
cox2
COX-2 Activity Data
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
bagEarth
Bagged Earth
predict.bagEarth
Predicted values based on bagged Earth and FDA models
print.confusionMatrix
Print method for confusionMatrix
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
trainControl
Control parameters for train
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
confusionMatrix
Create a confusion matrix
applyProcessing
Data Processing on Predictor Variables
caret-internal
Internal Functions
findLinearCombos
Determine linear combinations in a matrix
aucRoc
Compute the area under an ROC curve
plot.train
Plot Method for the train Class
varImp
Calculation of variable importance for regression and classification models
panel.needle
Needle Plot Lattice Panel
spatialSign
Compute the multivariate spatial sign
extractPrediction
Extract predictions and class probabilities from train objects
resampleHist
Plot the resampling distribution of the model statistics
postResample
Calculates performance across resamples
resampleSummary
Summary of resampled performance estimates
dotPlot
Create a dotplot of variable importance values
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
predict.knn3
Predictions from k-Nearest Neighbors
summary.bagEarth
Summarize a bagged earth or FDA fit
knn3
k-Nearest Neighbour Classification
createGrid
Tuning Parameter Grid
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
sensitivity
Calculate Sensitivity, Specificity and predictive values
train
Fit Predictive Models over Different Tuning Parameters
nearZeroVar
Identification of near zero variance predictors
pottery
Pottery from Pre-Classical Sites in Italy
roc
Compute the points for an ROC curve
BloodBrain
Blood Brain Barrier Data
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data