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EnsemblePCReg
View on CRAN: Click
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Download and install EnsemblePCReg package within the R console
Install from CRAN:
install.packages("EnsemblePCReg")
Install from Github:
library("remotes")
install_github("cran/EnsemblePCReg") Install by package version:
library("remotes")
install_version("EnsemblePCReg", "1.1.4") Attach the package and use:
library("EnsemblePCReg")
Maintained by
Alireza S. Mahani
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-28
Latest Update:
Description:
Extends the base classes and methods of 'EnsembleBase' package for Principal-Components-Regression-based (PCR) integration of base learners. Default implementation uses cross-validation error to choose the optimal number of PC components for the final predictor. The package takes advantage of the file method provided in 'EnsembleBase' package for writing estimation objects to disk in order to circumvent RAM bottleneck. Special save and load methods are provided to allow estimation objects to be saved to permanent files on disk, and to be loaded again into temporary files in a later R session. Users and developers can extend the package by extending the generic methods and classes provided in 'EnsembleBase' package as well as this package.
How to cite:
Alireza S. Mahani (2014). EnsemblePCReg: Extensible Package for Principal-Component-Regression-Based Heterogeneous Ensemble Meta-Learning. R package version 1.1.4, https://cran.r-project.org/web/packages/EnsemblePCReg. Accessed 05 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for EnsemblePCReg
Functions, R codes and Examples using
the EnsemblePCReg R package
Some associated functions: Regression.Integrator.PCR.SelMin.Config-class . Regression.Integrator.PCR.SelMin.FitObj-class . Regression.Sweep.CV.Fit . Regression.Sweep.CV.FitObj-class . Regression.Sweep.Fit . Regression.Sweep.PCR.Config-class . Regression.Sweep.PCR.FitObj-class . epcreg.baselearner.control . epcreg . epcreg.save . plot.epcreg . predict.epcreg . summary.epcreg .
Some associated R codes: aaa.R . epcreg.R . integrator.R . Full EnsemblePCReg package functions and examples
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