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: 1.1.0 Depends: R (≥ 4.0.0) Imports: Matrix, ROCR, Rdpack, ggplot2, rlang, glmnet, methods Suggests: testthat (≥ 3.0.0), foreach, doParallel, doRNG, robustbase, cellWise, VariableScreening, ggpubr, R.matlab Published: 2025-07-18 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=spareg to link to this page.
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