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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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Version

Install

install.packages('caret')

Monthly Downloads

158,845

Version

3.08

License

GPL-2

Maintainer

Max Kuhn

Last Published

December 10th, 2024

Functions in caret (3.08)

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