Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
Overview
Implementation of Sparse-group SLOPE (SGS) (Feser and Evangelou (2023) doi:10.48550/arXiv.2305.09467) models. Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported. In addition, a general Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel (2018) doi:10.48550/arXiv.1804.02339) implementation is provided. Group SLOPE (gSLOPE) (Brzyski et al. (2019) doi:10.1080/01621459.2017.1411269) and group-based OSCAR models (Feser and Evangelou (2024) doi:10.48550/arXiv.2405.15357) are also implemented. All models are available with strong screening rules (Feser and Evangelou (2024) doi:10.48550/arXiv.2405.15357) for computational speed-up.
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- NOTE12 OK, 1 NOTE2026-06-07
Show 5 earlier changesHide 5 earlier changes
- OK13 OK2026-05-02
- ERROR11 OK, 1 ERROR2026-04-25
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 20 (1 internal)includes a package overview page
- Examples that run
- 100%15 run in a plain check
- Exported functions with examples
- 73%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 96
- Median days to close, 50 most recently updated closed PRs
- 9
Stars over time
Forks over time
Issues over time
PRs over time
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/ff1201/sgs on 2026-10-11.
GitHub Pages site last deployed 2024-09-25
Dependencies
Installing sgs adds 71 packages (39 with compiled code, 66 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.3.9Latest
- 0.3.82025-06-12 · diff ↗
- 0.3.72025-05-06 · diff ↗
- 0.3.62025-04-22 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.3.52025-03-04 · diff ↗
- 0.3.42025-02-06 · diff ↗
- 0.3.32025-02-03 · diff ↗
- 0.3.22024-11-28 · diff ↗
- unarchivedReturned to CRAN2024-11-16
- 0.3.12024-11-16 · diff ↗
- archivedRemoved from CRAN2024-11-05requires archived package 'faux'
- 0.3.0
- 0.2.02024-07-14 · diff ↗ ·
removed 2 exports
generate_penalties, generate_toy_dataadded 5 exports
arma_sparse, fit_gslope, fit_gslope_cv, gen_pens, gen_toy_data - RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2023-05-19
- Total releases
- 13 / 3 yrs
- License
- GPL (>= 3) OSI
- Download size
- 551 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("sgs")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.48550/arxiv.2305.09467.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.