spareg: Sparse Projected Averaged Regression

A flexible framework combining variable screening and random projection techniques for fitting ensembles of predictive generalized linear models to high-dimensional data. Designed for extensibility, the package implements key techniques as S3 classes with user-friendly constructors, enabling easy integration and development of new procedures for high-dimensional applications. For more details see Parzer et al (2024a) <doi:10.48550/arXiv.2312.00130> and Parzer et al (2024b) <doi:10.48550/arXiv.2410.00971>.

Version: 1.0.0
Depends: R (≥ 4.0.0)
Imports: dplyr, Matrix, ROCR, Rdpack, ggplot2, rlang, glmnet, methods
Suggests: testthat (≥ 3.0.0), foreach, doParallel, robustbase, cellWise, VariableScreening, ggpubr, R.matlab
Published: 2025-05-06
Author: Laura Vana-Gür ORCID iD [aut, cre], Roman Parzer ORCID iD [aut], Peter Filzmoser ORCID iD [aut]
Maintainer: Laura Vana-Gür <laura.vana.guer at tuwien.ac.at>
BugReports: https://github.com/lauravana/spareg/issues
License: GPL-3
URL: https://github.com/lauravana/spareg
NeedsCompilation: no
Citation: spareg citation info
Materials: README NEWS
CRAN checks: spareg results

Documentation:

Reference manual: spareg.pdf
Vignettes: spareg: Sparse Projected Averaged Regression in R (source, R code)

Downloads:

Package source: spareg_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): spareg_1.0.0.tgz, r-oldrel (arm64): spareg_1.0.0.tgz, r-release (x86_64): spareg_1.0.0.tgz, r-oldrel (x86_64): spareg_1.0.0.tgz

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