Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning


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Documentation for package ‘EnsemblePCReg’ version 1.1.1

Help Pages

epcreg Principal-Components-Regression-Based (PCR) Integration of Base Learners for Ensemble Learning
epcreg.baselearner.control Utility Functions for Configuring Regression Base Learners and Integrator in 'EnsemblePCReg' Package
epcreg.integrator.control Utility Functions for Configuring Regression Base Learners and Integrator in 'EnsemblePCReg' Package
epcreg.load Custom Functions for Disk I/O in 'EnsemblePCReg' Package
epcreg.save Custom Functions for Disk I/O in 'EnsemblePCReg' Package
plot.epcreg Plot function for 'epcreg' model
predict.epcreg Predict method for class '"epcreg"'
Regression.Integrator.PCR.SelMin.Config-class Class '"Regression.Integrator.PCR.SelMin.Config"'
Regression.Integrator.PCR.SelMin.FitObj-class Class '"Regression.Integrator.PCR.SelMin.FitObj"'
Regression.Sweep.CV.Fit Function for cross-validation based sweep operation.
Regression.Sweep.CV.FitObj-class Class '"Regression.Sweep.CV.FitObj"'
Regression.Sweep.Fit-method ~~ Methods for Function 'Regression.Sweep.Fit' in Package 'EnsemblePCReg' ~~
Regression.Sweep.Fit-methods ~~ Methods for Function 'Regression.Sweep.Fit' in Package 'EnsemblePCReg' ~~
Regression.Sweep.PCR.Config-class Class '"Regression.Sweep.PCR.Config"'
Regression.Sweep.PCR.FitObj-class Class '"Regression.Sweep.PCR.FitObj"'
summary.epcreg Summary function for 'epcreg' model