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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>.
Package details |
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Author | Laura Vana-Gür [aut, cre] (ORCID: <https://orcid.org/0000-0002-9613-7604>), Roman Parzer [aut] (ORCID: <https://orcid.org/0000-0003-0893-3190>), Peter Filzmoser [aut] (ORCID: <https://orcid.org/0000-0002-8014-4682>) |
Maintainer | Laura Vana-Gür <laura.vana.guer@tuwien.ac.at> |
License | GPL-3 |
Version | 1.1.0 |
URL | https://github.com/lauravana/spareg |
Package repository | View on CRAN |
Installation |
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