caret v4.05

0

Monthly downloads

0th

Percentile

by Max Kuhn

Classification and Regression Training

Misc functions for training and plotting classification and regression models

Functions in caret

Name Description
print.train Print Method for the train Class
format.bagEarth Format 'bagEarth' objects
predictors List predictors used in the model
Alternate Affy Gene Expression Summary Methods. Generate Expression Values from Probes
summary.bagEarth Summarize a bagged earth or FDA fit
resampleSummary Summary of resampled performance estimates
confusionMatrix Create a confusion matrix
plotClassProbs Plot Predicted Probabilities in Classification Models
createDataPartition Data Splitting functions
caret-internal Internal Functions
filterVarImp Calculation of filter-based variable importance
BloodBrain Blood Brain Barrier Data
oil Fatty acid composition of commercial oils
findCorrelation Determine highly correlated variables
normalize2Reference Quantile Normalize Columns of a Matrix Based on a Reference Distribution
plotObsVsPred Plot Observed versus Predicted Results in Regression and Classification Models
predict.train Extract predictions and class probabilities from train objects
nearZeroVar Identification of near zero variance predictors
cox2 COX-2 Activity Data
normalize.AffyBatch.normalize2Reference Quantile Normalization to a Reference Distribution
pottery Pottery from Pre-Classical Sites in Italy
plot.varImp.train Plotting variable importance measures
predict.bagEarth Predicted values based on bagged Earth and FDA models
print.confusionMatrix Print method for confusionMatrix
sensitivity Calculate sensitivity, specificity and predictive values
dotPlot Create a dotplot of variable importance values
spatialSign Compute the multivariate spatial sign
trainControl Control parameters for train
varImp Calculation of variable importance for regression and classification models
resampleHist Plot the resampling distribution of the model statistics
histogram.train Lattice functions for plotting resampling results
preProcess Pre-Processing of Predictors
plot.train Plot Method for the train Class
bagEarth Bagged Earth
applyProcessing Data Processing on Predictor Variables (Deprecated)
mdrr Multidrug Resistance Reversal (MDRR) Agent Data
maxDissim Maximum Dissimilarity Sampling
predict.knn3 Predictions from k-Nearest Neighbors
roc Compute the points for an ROC curve
plsda Partial Least Squares Discriminant Analysis
train Fit Predictive Models over Different Tuning Parameters
oneSE Selecting tuning Parameters
tecator Fat, Water and Protein Content of Maat Samples
aucRoc Compute the area under an ROC curve
findLinearCombos Determine linear combinations in a matrix
createGrid Tuning Parameter Grid
panel.needle Needle Plot Lattice Panel
bagFDA Bagged FDA
postResample Calculates performance across resamples
featurePlot Wrapper for Lattice Plotting of Predictor Variables
as.table.confusionMatrix Save Confusion Table Results
pcaNNet.default Neural Networks with a Principal Component Step
knn3 k-Nearest Neighbour Classification
No Results!

Last month downloads

Details

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/caret)](http://www.rdocumentation.org/packages/caret)