Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (6.0-94) of this package.
Take me there.
caret (version 6.0-92)
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
121,196
Version
6.0-92
License
GPL (>= 2)
Issues
177
Pull Requests
7
Stars
1,605
Forks
636
Repository
https://github.com/topepo/caret/
Maintainer
Max Kuhn
Last Published
April 19th, 2022
Functions in caret (6.0-92)
Search all functions
confusionMatrix.train
Estimate a Resampled Confusion Matrix
format.bagEarth
Format 'bagEarth' objects
cox2
COX-2 Activity Data
gafs.default
Genetic algorithm feature selection
confusionMatrix
Create a confusion matrix
calibration
Probability Calibration Plot
caretSBF
Selection By Filtering (SBF) Helper Functions
cars
Kelly Blue Book resale data for 2005 model year GM cars
bagFDA
Bagged FDA
dhfr
Dihydrofolate Reductase Inhibitors Data
findCorrelation
Determine highly correlated variables
diff.resamples
Inferential Assessments About Model Performance
avNNet
Neural Networks Using Model Averaging
index2vec
Convert indicies to a binary vector
gafs_initial
Ancillary genetic algorithm functions
getSamplingInfo
Get sampling info from a train model
knn3
k-Nearest Neighbour Classification
findLinearCombos
Determine linear combinations in a matrix
bagEarth
Bagged Earth
featurePlot
Wrapper for Lattice Plotting of Predictor Variables
bag
A General Framework For Bagging
dotPlot
Create a dotplot of variable importance values
plot.gafs
Plot Method for the gafs and safs Classes
densityplot.rfe
Lattice functions for plotting resampling results of recursive feature selection
oil
Fatty acid composition of commercial oils
scat
Morphometric Data on Scat
resampleSummary
Summary of resampled performance estimates
createDataPartition
Data Splitting functions
resampleHist
Plot the resampling distribution of the model statistics
predictors
List predictors used in the model
print.confusionMatrix
Print method for confusionMatrix
nullModel
Fit a simple, non-informative model
filterVarImp
Calculation of filter-based variable importance
knnreg
k-Nearest Neighbour Regression
train_model_list
A List of Available Models in train
icr.formula
Independent Component Regression
dummyVars
Create A Full Set of Dummy Variables
panel.needle
Needle Plot Lattice Panel
lift
Lift Plot
downSample
Down- and Up-Sampling Imbalanced Data
histogram.train
Lattice functions for plotting resampling results
maxDissim
Maximum Dissimilarity Sampling
plotClassProbs
Plot Predicted Probabilities in Classification Models
pcaNNet
Neural Networks with a Principal Component Step
nearZeroVar
Identification of near zero variance predictors
learning_curve_dat
Create Data to Plot a Learning Curve
segmentationData
Cell Body Segmentation
panel.lift2
Lattice Panel Functions for Lift Plots
defaultSummary
Calculates performance across resamples
plsda
Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis
oneSE
Selecting tuning Parameters
plotObsVsPred
Plot Observed versus Predicted Results in Regression and Classification Models
ggplot.rfe
Plot RFE Performance Profiles
summary.bagEarth
Summarize a bagged earth or FDA fit
gafsControl
Control parameters for GA and SA feature selection
pottery
Pottery from Pre-Classical Sites in Italy
extractPrediction
Extract predictions and class probabilities from train objects
predict.knnreg
Predictions from k-Nearest Neighbors Regression Model
tecator
Fat, Water and Protein Content of Meat Samples
update.safs
Update or Re-fit a SA or GA Model
safs_initial
Ancillary simulated annealing functions
update.train
Update or Re-fit a Model
resamples
Collation and Visualization of Resampling Results
rfe
Backwards Feature Selection
prcomp.resamples
Principal Components Analysis of Resampling Results
mdrr
Multidrug Resistance Reversal (MDRR) Agent Data
modelLookup
Tools for Models Available in
train
dotplot.diff.resamples
Lattice Functions for Visualizing Resampling Differences
ggplot.train
Plot Method for the train Class
plot.varImp.train
Plotting variable importance measures
predict.knn3
Predictions from k-Nearest Neighbors
predict.gafs
Predict new samples
trainControl
Control parameters for train
print.train
Print Method for the train Class
recall
Calculate recall, precision and F values
SLC14_1
Simulation Functions
spatialSign
Compute the multivariate spatial sign
negPredValue
Calculate sensitivity, specificity and predictive values
var_seq
Sequences of Variables for Tuning
safs
Simulated annealing feature selection
rfeControl
Controlling the Feature Selection Algorithms
preProcess
Pre-Processing of Predictors
sbf
Selection By Filtering (SBF)
thresholder
Generate Data to Choose a Probability Threshold
predict.bagEarth
Predicted values based on bagged Earth and FDA models
sbfControl
Control Object for Selection By Filtering (SBF)
xyplot.resamples
Lattice Functions for Visualizing Resampling Results
train
Fit Predictive Models over Different Tuning Parameters
varImp
Calculation of variable importance for regression and classification models
varImp.gafs
Variable importances for GAs and SAs
as.matrix.confusionMatrix
Confusion matrix as a table
BloodBrain
Blood Brain Barrier Data
Sacramento
Sacramento CA Home Prices
caret-internal
Internal Functions
BoxCoxTrans
Box-Cox and Exponential Transformations
GermanCredit
German Credit Data
classDist
Compute and predict the distances to class centroids
pickSizeBest
Backwards Feature Selection Helper Functions