Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (6.0-94) of this package.
Take me there.
caret (version 4.42)
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
221,361
Version
4.42
License
GPL-2
Maintainer
Max Kuhn
Last Published
June 11th, 2010
Functions in caret (4.42)
Search all functions
cox2
COX-2 Activity Data
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
preProcess
Pre-Processing of Predictors
caret-internal
Internal Functions
cars
Kelly Blue Book resale data for 2005 model year GM cars
bagFDA
Bagged FDA
aucRoc
Compute the area under an ROC curve
postResample
Calculates performance across resamples
print.train
Print Method for the train Class
knnreg
k-Nearest Neighbour Regression
dotPlot
Create a dotplot of variable importance values
predict.train
Extract predictions and class probabilities from train objects
oil
Fatty acid composition of commercial oils
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
resampleHist
Plot the resampling distribution of the model statistics
rfeControl
Controlling the Feature Selection Algorithms
trainControl
Control parameters for train
classDist
Compute and predict the distances to class centroids
plot.train
Plot Method for the train Class
resamples
Collation and Visualization of Resampling Results
sensitivity
Calculate sensitivity, specificity and predictive values
train
Fit Predictive Models over Different Tuning Parameters
confusionMatrix
Create a confusion matrix
findLinearCombos
Determine linear combinations in a matrix
maxDissim
Maximum Dissimilarity Sampling
pottery
Pottery from Pre-Classical Sites in Italy
predict.knn3
Predictions from k-Nearest Neighbors
as.table.confusionMatrix
Save Confusion Table Results
dhfr
Dihydrofolate Reductase Inhibitors Data
format.bagEarth
Format 'bagEarth' objects
findCorrelation
Determine highly correlated variables
normalize.AffyBatch.normalize2Reference
Quantile Normalization to a Reference Distribution
pcaNNet.default
Neural Networks with a Principal Component Step
sbf
Selection By Filtering (SBF)
tecator
Fat, Water and Protein Content of Meat Samples
summary.bagEarth
Summarize a bagged earth or FDA fit
createGrid
Tuning Parameter Grid
applyProcessing
Data Processing on Predictor Variables (Deprecated)
filterVarImp
Calculation of filter-based variable importance
Alternate Affy Gene Expression Summary Methods.
Generate Expression Values from Probes
normalize2Reference
Quantile Normalize Columns of a Matrix Based on a Reference Distribution
nullModel
Fit a simple, non-informative model
predictors
List predictors used in the model
resampleSummary
Summary of resampled performance estimates
varImp
Calculation of variable importance for regression and classification models
sbfControl
Control Object for Selection By Filtering (SBF)
createDataPartition
Data Splitting functions
icr.formula
Independent Component Regression
lattice.rfe
Lattice functions for plotting resampling results of recursive feature selection
panel.needle
Needle Plot Lattice Panel
print.confusionMatrix
Print method for confusionMatrix
plotClassProbs
Plot Predicted Probabilities in Classification Models
rfe
Backwards Feature Selection
spatialSign
Compute the multivariate spatial sign
BloodBrain
Blood Brain Barrier Data
diff.resamples
Inferential Assessments About Model Performance
bagEarth
Bagged Earth
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
histogram.train
Lattice functions for plotting resampling results
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
plot.varImp.train
Plotting variable importance measures
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
caretFuncs
Backwards Feature Selection Helper Functions
roc
Compute the points for an ROC curve
oneSE
Selecting tuning Parameters
caretSBF
Selection By Filtering (SBF) Helper Functions
predict.bagEarth
Predicted values based on bagged Earth and FDA models
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
knn3
k-Nearest Neighbour Classification
nearZeroVar
Identification of near zero variance predictors
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences