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caret (version 3.45)

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

3.45

License

GPL-2

Maintainer

Last Published

March 21st, 2023

Functions in caret (3.45)

createGrid

Tuning Parameter Grid
format.bagEarth

Format 'bagEarth' objects
Alternate Affy Gene Expression Summary Methods.

Generate Expression Values from Probes
dotPlot

Create a dotplot of variable importance values
bagEarth

Bagged Earth
predict.bagEarth

Predicted values based on bagged Earth and FDA models
confusionMatrix

Create a confusion matrix
mdrr

Multidrug Resistance Reversal (MDRR) Agent Data
pcaNNet.default

Neural Networks with a Principal Component Step
maxDissim

Maximum Dissimilarity Sampling
pottery

Pottery from Pre-Classical Sites in Italy
filterVarImp

Calculation of filter-based variable importance
plot.train

Plot Method for the train Class
applyProcessing

Data Processing on Predictor Variables (Deprecated)
caret-internal

Internal Functions
panel.needle

Needle Plot Lattice Panel
plotObsVsPred

Plot Observed versus Predicted Results in Regression and Classification Models
preProcess

Pre-Processing of Predictors
roc

Compute the points for an ROC curve
featurePlot

Wrapper for Lattice Plotting of Predictor Variables
bagFDA

Bagged FDA
oneSE

Selecting tuning Parameters
predictors

List predictors used in the model
train

Fit Predictive Models over Different Tuning Parameters
sensitivity

Calculate Sensitivity, Specificity and predictive values
predict.knn3

Predictions from k-Nearest Neighbors
tecator

Fat, Water and Protein Content of Maat Samples
aucRoc

Compute the area under an ROC curve
print.confusionMatrix

Print method for confusionMatrix
trainControl

Control parameters for train
oil

Fatty acid composition of commercial oils
normalize.AffyBatch.normalize2Reference

Quantile Normalization to a Reference Distribution
BloodBrain

Blood Brain Barrier Data
predict.train

Extract predictions and class probabilities from train objects
nearZeroVar

Identification of near zero variance predictors
plsda

Partial Least Squares Discriminant Analysis
postResample

Calculates performance across resamples
findCorrelation

Determine highly correlated variables
varImp

Calculation of variable importance for regression and classification models
knn3

k-Nearest Neighbour Classification
summary.bagEarth

Summarize a bagged earth or FDA fit
resampleSummary

Summary of resampled performance estimates
plotClassProbs

Plot Predicted Probabilities in Classification Models
plot.varImp.train

Plotting variable importance measures
findLinearCombos

Determine linear combinations in a matrix
histogram.train

Lattice functions for plotting resampling results
cox2

COX-2 Activity Data
normalize2Reference

Quantile Normalize Columns of a Matrix Based on a Reference Distribution
createDataPartition

Data Splitting functions
resampleHist

Plot the resampling distribution of the model statistics
spatialSign

Compute the multivariate spatial sign
print.train

Print Method for the train Class