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