CRAN/E | EnsemblePCReg

EnsemblePCReg

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

Installation

About

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.

Key Metrics

Version 1.1.4
Published 2022-04-18 749 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks EnsemblePCReg results

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Maintainer

Maintainer

Alireza S. Mahani

alireza.s.mahani@gmail.com

Authors

Mansour T.A. Sharabiani
Alireza S. Mahani

Material

ChangeLog
Reference manual
Package source

Vignettes

Multi-stage heterogeneous ensemble meta-learning with hands-off user-interface and on-demand prediction using principal components regression: The R package EnsemblePCReg

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EnsemblePCReg archive

Depends

EnsembleBase
methods

Imports

parallel

Suggests

R.rsp