Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (7.0-1) of this package.
Take me there.
caret (version 4.91)
Classification and Regression Training
Description
Misc functions for training and plotting classification and regression models
Copy Link
Link to current version
Version
Version
7.0-1
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
Install
install.packages('caret')
Monthly Downloads
163,965
Version
4.91
License
GPL-2
Maintainer
Max Kuhn
Last Published
June 9th, 2011
Functions in caret (4.91)
Search all functions
as.table.confusionMatrix
Save Confusion Table Results
postResample
Calculates performance across resamples
format.bagEarth
Format 'bagEarth' objects
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
prcomp.resamples
Principal Components Analysis of Resampling Results
bag.default
A General Framework For Bagging
filterVarImp
Calculation of filter-based variable importance
resamples
Collation and Visualization of Resampling Results
findLinearCombos
Determine linear combinations in a matrix
resampleSummary
Summary of resampled performance estimates
predict.knn3
Predictions from k-Nearest Neighbors
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
predictors
List predictors used in the model
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
bagFDA
Bagged FDA
dotPlot
Create a dotplot of variable importance values
plotClassProbs
Plot Predicted Probabilities in Classification Models
nullModel
Fit a simple, non-informative model
predict.bagEarth
Predicted values based on bagged Earth and FDA models
predict.train
Extract predictions and class probabilities from train objects
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
preProcess
Pre-Processing of Predictors
maxDissim
Maximum Dissimilarity Sampling
pottery
Pottery from Pre-Classical Sites in Italy
bagEarth
Bagged Earth
dummyVars
Create A Full Set of Dummy Variables
GermanCredit
German Credit Data
findCorrelation
Determine highly correlated variables
applyProcessing
Data Processing on Predictor Variables (Deprecated)
roc
Compute the points for an ROC curve
classDist
Compute and predict the distances to class centroids
modelLookup
Descriptions Of Models Available in train()
plot.train
Plot Method for the train Class
oil
Fatty acid composition of commercial oils
cox2
COX-2 Activity Data
print.confusionMatrix
Print method for confusionMatrix
train
Fit Predictive Models over Different Tuning Parameters
cars
Kelly Blue Book resale data for 2005 model year GM cars
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
caretFuncs
Backwards Feature Selection Helper Functions
varImp
Calculation of variable importance for regression and classification models
BloodBrain
Blood Brain Barrier Data
caret-internal
Internal Functions
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
diff.resamples
Inferential Assessments About Model Performance
BoxCoxTrans.default
Box-Cox Transformations
createDataPartition
Data Splitting functions
panel.needle
Needle Plot Lattice Panel
aucRoc
Compute the area under an ROC curve
plot.varImp.train
Plotting variable importance measures
pcaNNet.default
Neural Networks with a Principal Component Step
icr.formula
Independent Component Regression
knnreg
k-Nearest Neighbour Regression
knn3
k-Nearest Neighbour Classification
sensitivity
Calculate sensitivity, specificity and predictive values
confusionMatrix
Create a confusion matrix
createGrid
Tuning Parameter Grid
oneSE
Selecting tuning Parameters
histogram.train
Lattice functions for plotting resampling results
rfe
Backwards Feature Selection
segmentationData
Cell Body Segmentation
summary.bagEarth
Summarize a bagged earth or FDA fit
sbf
Selection By Filtering (SBF)
caretSBF
Selection By Filtering (SBF) Helper Functions
rfeControl
Controlling the Feature Selection Algorithms
trainControl
Control parameters for train
tecator
Fat, Water and Protein Content of Meat Samples
spatialSign
Compute the multivariate spatial sign
dhfr
Dihydrofolate Reductase Inhibitors Data
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
nearZeroVar
Identification of near zero variance predictors
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
print.train
Print Method for the train Class
resampleHist
Plot the resampling distribution of the model statistics
sbfControl
Control Object for Selection By Filtering (SBF)