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
DOI:	10.32614/CRAN.package.spareg
Author:	Laura Vana-Gür [aut, cre], Roman Parzer [aut], Peter Filzmoser [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: spareg_1.0.0.zip, 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spareg to link to this page.