as.matrix.confusionMatrix

Confusion matrix as a table

BoxCoxTrans

Box-Cox and Exponential Transformations

bagEarth

Bagged Earth

calibration

Probability Calibration Plot

bagFDA

Bagged FDA

bag

A General Framework For Bagging

Sacramento

Sacramento CA Home Prices

avNNet

Neural Networks Using Model Averaging

BloodBrain

Blood Brain Barrier Data

GermanCredit

German Credit Data

confusionMatrix

Create a confusion matrix

confusionMatrix.train

Estimate a Resampled Confusion Matrix

classDist

Compute and predict the distances to class centroids

caretSBF

Selection By Filtering (SBF) Helper Functions

cox2

COX-2 Activity Data

caret-internal

Internal Functions

downSample

Down- and Up-Sampling Imbalanced Data

cars

Kelly Blue Book resale data for 2005 model year GM cars

dummyVars

Create A Full Set of Dummy Variables

featurePlot

Wrapper for Lattice Plotting of Predictor Variables

format.bagEarth

Format 'bagEarth' objects

gafs.default

Genetic algorithm feature selection

filterVarImp

Calculation of filter-based variable importance

index2vec

Convert indicies to a binary vector

dotPlot

Create a dotplot of variable importance values

dotplot.diff.resamples

Lattice Functions for Visualizing Resampling Differences

icr.formula

Independent Component Regression

histogram.train

Lattice functions for plotting resampling results

createDataPartition

Data Splitting functions

dhfr

Dihydrofolate Reductase Inhibitors Data

densityplot.rfe

Lattice functions for plotting resampling results of recursive feature
selection

knnreg

k-Nearest Neighbour Regression

knn3

k-Nearest Neighbour Classification

learning_curve_dat

Create Data to Plot a Learning Curve

findLinearCombos

Determine linear combinations in a matrix

findCorrelation

Determine highly correlated variables

gafs_initial

Ancillary genetic algorithm functions

getSamplingInfo

Get sampling info from a train model

pickSizeBest

Backwards Feature Selection Helper Functions

diff.resamples

Inferential Assessments About Model Performance

mdrr

Multidrug Resistance Reversal (MDRR) Agent Data

oil

Fatty acid composition of commercial oils

nullModel

Fit a simple, non-informative model

train_model_list

A List of Available Models in train

oneSE

Selecting tuning Parameters

nearZeroVar

Identification of near zero variance predictors

panel.lift2

Lattice Panel Functions for Lift Plots

lift

Lift Plot

maxDissim

Maximum Dissimilarity Sampling

ggplot.train

Plot Method for the train Class

plot.varImp.train

Plotting variable importance measures

panel.needle

Needle Plot Lattice Panel

ggplot.rfe

Plot RFE Performance Profiles

plot.gafs

Plot Method for the gafs and safs Classes

pcaNNet

Neural Networks with a Principal Component Step

plsda

Partial Least Squares and Sparse Partial Least Squares Discriminant Analysis

modelLookup

Tools for Models Available in

`train`

defaultSummary

Calculates performance across resamples

predictors

List predictors used in the model

predict.gafs

Predict new samples

plotClassProbs

Plot Predicted Probabilities in Classification Models

print.confusionMatrix

Print method for confusionMatrix

plotObsVsPred

Plot Observed versus Predicted Results in Regression and Classification
Models

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

predict.knn3

Predictions from k-Nearest Neighbors

gafsControl

Control parameters for GA and SA feature selection

preProcess

Pre-Processing of Predictors

prcomp.resamples

Principal Components Analysis of Resampling Results

resamples

Collation and Visualization of Resampling Results

predict.bagEarth

Predicted values based on bagged Earth and FDA models

safs_initial

Ancillary simulated annealing functions

print.train

Print Method for the train Class

recall

Calculate recall, precision and F values

rfe

Backwards Feature Selection

resampleSummary

Summary of resampled performance estimates

resampleHist

Plot the resampling distribution of the model statistics

thresholder

Generate Data to Choose a Probability Threshold

tecator

Fat, Water and Protein Content of Meat Samples

train

Fit Predictive Models over Different Tuning Parameters

sbf

Selection By Filtering (SBF)

varImp

Calculation of variable importance for regression and classification models

sbfControl

Control Object for Selection By Filtering (SBF)

xyplot.resamples

Lattice Functions for Visualizing Resampling Results

summary.bagEarth

Summarize a bagged earth or FDA fit

var_seq

Sequences of Variables for Tuning

negPredValue

Calculate sensitivity, specificity and predictive values

scat

Morphometric Data on Scat

varImp.gafs

Variable importances for GAs and SAs

rfeControl

Controlling the Feature Selection Algorithms

safs

Simulated annealing feature selection

spatialSign

Compute the multivariate spatial sign

SLC14_1

Simulation Functions

trainControl

Control parameters for train

segmentationData

Cell Body Segmentation

update.safs

Update or Re-fit a SA or GA Model

update.train

Update or Re-fit a Model