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caret (version 6.0-94)
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
148,125
Version
6.0-94
License
GPL (>= 2)
Issues
177
Pull Requests
7
Stars
1,610
Forks
632
Repository
https://github.com/topepo/caret/
Maintainer
Max Kuhn
Last Published
March 21st, 2023
Functions in caret (6.0-94)
Search all functions
as.matrix.confusionMatrix
Confusion matrix as a table
Sacramento
Sacramento CA Home Prices
GermanCredit
German Credit Data
BoxCoxTrans
Box-Cox and Exponential Transformations
BloodBrain
Blood Brain Barrier Data
avNNet
Neural Networks Using Model Averaging
calibration
Probability Calibration Plot
bagEarth
Bagged Earth
bagFDA
Bagged FDA
bag
A General Framework For Bagging
confusionMatrix.train
Estimate a Resampled Confusion Matrix
classDist
Compute and predict the distances to class centroids
caret-internal
Internal Functions
densityplot.rfe
Lattice functions for plotting resampling results of recursive feature selection
cox2
COX-2 Activity Data
caretSBF
Selection By Filtering (SBF) Helper Functions
confusionMatrix
Create a confusion matrix
createDataPartition
Data Splitting functions
pickSizeBest
Backwards Feature Selection Helper Functions
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
findCorrelation
Determine highly correlated variables
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
dummyVars
Create A Full Set of Dummy Variables
filterVarImp
Calculation of filter-based variable importance
dotPlot
Create a dotplot of variable importance values
downSample
Down- and Up-Sampling Imbalanced Data
diff.resamples
Inferential Assessments About Model Performance
findLinearCombos
Determine linear combinations in a matrix
cars
Kelly Blue Book resale data for 2005 model year GM cars
dhfr
Dihydrofolate Reductase Inhibitors Data
index2vec
Convert indicies to a binary vector
getSamplingInfo
Get sampling info from a train model
icr.formula
Independent Component Regression
knn3
k-Nearest Neighbour Classification
format.bagEarth
Format 'bagEarth' objects
gafs.default
Genetic algorithm feature selection
knnreg
k-Nearest Neighbour Regression
gafs_initial
Ancillary genetic algorithm functions
histogram.train
Lattice functions for plotting resampling results
learning_curve_dat
Create Data to Plot a Learning Curve