RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (6.0-94) of this package.
Take me there.
caret (version 4.58)
Classification and Regression Training
Description
Misc functions for training and plotting classification and regression models
Copy Link
Copy
Link to current version
Version
Version
6.0-94
6.0-93
6.0-92
6.0-91
6.0-90
6.0-89
6.0-88
6.0-86
6.0-85
6.0-84
6.0-83
6.0-82
6.0-81
6.0-80
6.0-79
6.0-78
6.0-77
6.0-76
6.0-73
6.0-72
6.0-71
6.0-70
6.0-68
6.0-64
6.0-62
6.0-58
6.0-57
6.0-52
6.0-47
6.0-41
6.0-37
6.0-35
6.0-34
6.0-30
6.0-29
6.0-24
6.0-22
6.0-21
5.17-7
5.16-24
5.16-04
5.15-61
5.15-052
5.15-048
5.15-045
5.15-044
5.15-023
5.14-023
5.13-037
5.13-20
5.12-04
5.11-06
5.10-13
5.09-012
5.09-006
5.08-011
5.07-024
5.07-005
5.07-001
5.05.004
5.04-007
5.03-003
5.02-011
5.01-001
4.99
4.98
4.92
4.91
4.90
4.89
4.88
4.87
4.85
4.83
4.78
4.77
4.76
4.75
4.73
4.72
4.70
4.69
4.68
4.67
4.65
4.64
4.63
4.62
4.61
4.60
4.59
4.58
4.57
4.54
4.53
4.51
4.49
4.48
4.47
4.45
4.44
4.43
4.42
4.41
4.39
4.37
4.36
4.34
4.33
4.31
4.30
4.27
4.26
4.25
4.24
4.23
4.20
4.19
4.18
4.17
4.16
4.15
4.12
4.11
4.10
4.08
4.06
4.05
3.51
3.45
3.37
3.32
3.25
3.21
3.16
3.13
3.12
3.08
2.29
2.27
Down Chevron
Install
install.packages('caret')
Monthly Downloads
160,352
Version
4.58
License
GPL-2
Maintainer
Max Kuhn
Last Published
August 29th, 2010
Functions in caret (4.58)
Search functions
dhfr
Dihydrofolate Reductase Inhibitors Data
dotPlot
Create a dotplot of variable importance values
cox2
COX-2 Activity Data
knnreg
k-Nearest Neighbour Regression
modelLookup
Descriptions Of Models Available in train()
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
predict.bagEarth
Predicted values based on bagged Earth and FDA models
rfeControl
Controlling the Feature Selection Algorithms
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
oneSE
Selecting tuning Parameters
bagEarth
Bagged Earth
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
plotClassProbs
Plot Predicted Probabilities in Classification Models
predictors
List predictors used in the model
caretSBF
Selection By Filtering (SBF) Helper Functions
classDist
Compute and predict the distances to class centroids
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
plot.varImp.train
Plotting variable importance measures
histogram.train
Lattice functions for plotting resampling results
sbf
Selection By Filtering (SBF)
plot.train
Plot Method for the train Class
cars
Kelly Blue Book resale data for 2005 model year GM cars
GermanCredit
German Credit Data
findLinearCombos
Determine linear combinations in a matrix
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
resampleSummary
Summary of resampled performance estimates
caretFuncs
Backwards Feature Selection Helper Functions
sensitivity
Calculate sensitivity, specificity and predictive values
varImp
Calculation of variable importance for regression and classification models
caret-internal
Internal Functions
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
pcaNNet.default
Neural Networks with a Principal Component Step
panel.needle
Needle Plot Lattice Panel
rfe
Backwards Feature Selection
preProcess
Pre-Processing of Predictors
trainControl
Control parameters for train
print.confusionMatrix
Print method for confusionMatrix
filterVarImp
Calculation of filter-based variable importance
diff.resamples
Inferential Assessments About Model Performance
confusionMatrix
Create a confusion matrix
predict.knn3
Predictions from k-Nearest Neighbors
print.train
Print Method for the train Class
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
as.table.confusionMatrix
Save Confusion Table Results
pottery
Pottery from Pre-Classical Sites in Italy
summary.bagEarth
Summarize a bagged earth or FDA fit
predict.train
Extract predictions and class probabilities from train objects
findCorrelation
Determine highly correlated variables
bagFDA
Bagged FDA
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
tecator
Fat, Water and Protein Content of Meat Samples
prcomp.resamples
Principal Components Analysis of Resampling Results
train
Fit Predictive Models over Different Tuning Parameters
aucRoc
Compute the area under an ROC curve
format.bagEarth
Format 'bagEarth' objects
oil
Fatty acid composition of commercial oils
sbfControl
Control Object for Selection By Filtering (SBF)
maxDissim
Maximum Dissimilarity Sampling
resampleHist
Plot the resampling distribution of the model statistics
nearZeroVar
Identification of near zero variance predictors
BloodBrain
Blood Brain Barrier Data
applyProcessing
Data Processing on Predictor Variables (Deprecated)
createGrid
Tuning Parameter Grid
nullModel
Fit a simple, non-informative model
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
icr.formula
Independent Component Regression
knn3
k-Nearest Neighbour Classification
resamples
Collation and Visualization of Resampling Results
postResample
Calculates performance across resamples
roc
Compute the points for an ROC curve
spatialSign
Compute the multivariate spatial sign
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
bag.default
A General Framework For Bagging
createDataPartition
Data Splitting functions