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: | 1.1.1 |
| 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: | 2025-08-19 |
| 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 |
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