Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (6.0-94) of this package.
Take me there.
caret (version 4.69)
Classification and Regression Training
Description
Misc functions for training and plotting classification and regression models
Copy Link
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
Install
install.packages('caret')
Monthly Downloads
208,749
Version
4.69
License
GPL-2
Maintainer
Max Kuhn
Last Published
October 29th, 2010
Functions in caret (4.69)
Search all functions
bagEarth
Bagged Earth
dotPlot
Create a dotplot of variable importance values
icr.formula
Independent Component Regression
knn3
k-Nearest Neighbour Classification
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
plotClassProbs
Plot Predicted Probabilities in Classification Models
print.train
Print Method for the train Class
resampleHist
Plot the resampling distribution of the model statistics
resampleSummary
Summary of resampled performance estimates
segmentationData
Cell Body Segmentation
oneSE
Selecting tuning Parameters
tecator
Fat, Water and Protein Content of Meat Samples
GermanCredit
German Credit Data
confusionMatrix
Create a confusion matrix
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
summary.bagEarth
Summarize a bagged earth or FDA fit
applyProcessing
Data Processing on Predictor Variables (Deprecated)
BloodBrain
Blood Brain Barrier Data
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
knnreg
k-Nearest Neighbour Regression
panel.needle
Needle Plot Lattice Panel
pcaNNet.default
Neural Networks with a Principal Component Step
postResample
Calculates performance across resamples
roc
Compute the points for an ROC curve
sensitivity
Calculate sensitivity, specificity and predictive values
trainControl
Control parameters for train
format.bagEarth
Format 'bagEarth' objects
classDist
Compute and predict the distances to class centroids
createDataPartition
Data Splitting functions
caretFuncs
Backwards Feature Selection Helper Functions
sbfControl
Control Object for Selection By Filtering (SBF)
filterVarImp
Calculation of filter-based variable importance
findLinearCombos
Determine linear combinations in a matrix
cox2
COX-2 Activity Data
createGrid
Tuning Parameter Grid
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
findCorrelation
Determine highly correlated variables
predict.knn3
Predictions from k-Nearest Neighbors
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
modelLookup
Descriptions Of Models Available in train()
preProcess
Pre-Processing of Predictors
caret-internal
Internal Functions
resamples
Collation and Visualization of Resampling Results
histogram.train
Lattice functions for plotting resampling results
diff.resamples
Inferential Assessments About Model Performance
spatialSign
Compute the multivariate spatial sign
nullModel
Fit a simple, non-informative model
caretSBF
Selection By Filtering (SBF) Helper Functions
as.table.confusionMatrix
Save Confusion Table Results
maxDissim
Maximum Dissimilarity Sampling
cars
Kelly Blue Book resale data for 2005 model year GM cars
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
rfeControl
Controlling the Feature Selection Algorithms
pottery
Pottery from Pre-Classical Sites in Italy
predict.bagEarth
Predicted values based on bagged Earth and FDA models
print.confusionMatrix
Print method for confusionMatrix
plot.varImp.train
Plotting variable importance measures
rfe
Backwards Feature Selection
nearZeroVar
Identification of near zero variance predictors
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
predictors
List predictors used in the model
oil
Fatty acid composition of commercial oils
train
Fit Predictive Models over Different Tuning Parameters
varImp
Calculation of variable importance for regression and classification models
predict.train
Extract predictions and class probabilities from train objects
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
plot.train
Plot Method for the train Class
bag.default
A General Framework For Bagging
prcomp.resamples
Principal Components Analysis of Resampling Results
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
dhfr
Dihydrofolate Reductase Inhibitors Data
aucRoc
Compute the area under an ROC curve
sbf
Selection By Filtering (SBF)
bagFDA
Bagged FDA