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caret (version 6.0-93)
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
6.0-93
License
GPL (>= 2)
Issues
178
Pull Requests
7
Stars
1,615
Forks
632
Repository
https://github.com/topepo/caret/
Maintainer
Max Kuhn
Last Published
August 9th, 2022
Functions in caret (6.0-93)
Search all functions
BloodBrain
Blood Brain Barrier Data
Sacramento
Sacramento CA Home Prices
GermanCredit
German Credit Data
bagEarth
Bagged Earth
as.matrix.confusionMatrix
Confusion matrix as a table
avNNet
Neural Networks Using Model Averaging
calibration
Probability Calibration Plot
confusionMatrix.train
Estimate a Resampled Confusion Matrix
bag
A General Framework For Bagging
createDataPartition
Data Splitting functions
caretSBF
Selection By Filtering (SBF) Helper Functions
cox2
COX-2 Activity Data
dotPlot
Create a dotplot of variable importance values
cars
Kelly Blue Book resale data for 2005 model year GM cars
caret-internal
Internal Functions
pickSizeBest
Backwards Feature Selection Helper Functions
classDist
Compute and predict the distances to class centroids
confusionMatrix
Create a confusion matrix
index2vec
Convert indicies to a binary vector
knn3
k-Nearest Neighbour Classification
gafs_initial
Ancillary genetic algorithm functions
getSamplingInfo
Get sampling info from a train model
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
findCorrelation
Determine highly correlated variables
dhfr
Dihydrofolate Reductase Inhibitors Data
findLinearCombos
Determine linear combinations in a matrix
densityplot.rfe
Lattice functions for plotting resampling results of recursive feature selection
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
filterVarImp
Calculation of filter-based variable importance
diff.resamples
Inferential Assessments About Model Performance
icr.formula
Independent Component Regression
histogram.train
Lattice functions for plotting resampling results
downSample
Down- and Up-Sampling Imbalanced Data
learning_curve_dat
Create Data to Plot a Learning Curve
format.bagEarth
Format 'bagEarth' objects
knnreg
k-Nearest Neighbour Regression
dummyVars
Create A Full Set of Dummy Variables
gafs.default
Genetic algorithm feature selection
bagFDA
Bagged FDA
BoxCoxTrans
Box-Cox and Exponential Transformations