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SLOPE

2.1.1Package record

Sorted L1 Penalized Estimation

1packages depend
7.2Kdownloads / year
79.4%test coverage
13/13flavors OK

Overview

About

Efficient implementations for Sorted L-One Penalized Estimation (SLOPE): generalized linear models regularized with the sorted L1-norm (Bogdan et al. 2015). Supported models include ordinary least-squares regression, binomial regression, multinomial regression, and Poisson regression. Both dense and sparse predictor matrices are supported. In addition, the package features predictor screening rules that enable fast and efficient solutions to high-dimensional problems.

Install

Health

CRAN checks
13OK
Slowest check: 9.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 2.1.1
READMEYes · 230 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · does not mention 2.1.1Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
30 (5 internal)includes a package overview page
Examples that run
100%16 run in a plain check
Exported functions with examples
89%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
3%

Downloads

7.2K
CRAN downloads in the past year
Rank #5,425 · ~20/day · ~599/mo
Daily download trend is not available in this view yet.
49330 days
1.5K90 days
7.2K1 year
Compare downloads with other packages →
Also on476 r2u3 autocran2.4K conda_forge

Repository

20Stars
10Forks
0Open issues
0Open PRs
16Releases
783Commits
7Commit identities
slopesparse-regressionrgeneralized-linear-models
License file reads as GPL-3.0 · 783 commits · Last activity 2026-10-09 · +5.3% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
80%
Median days to close, 50 most recently updated closed issues
36
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-08-02 · 182026-10-12 · 20
PracticesBeta

15 development-tooling and community-health practices detected across 9 families in the upstream repository

Checks run against github.com/jolars/slope on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)
Code of conduct

The repository owner accepts GitHub Sponsors

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-09 · The repository has a site deploy workflow

pkgdown site last built 2026-10-09

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 5 practices
Reproducibility and dev environment (2)
data-raw/Nix
CRAN release process (1)
cran-comments.md
Research and citation (1)
CITATION.cff
Automation and maintenance (1)
Dependabot
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-06-02
    Seen in the repository: CLAUDE.md
    Named in .Rbuildignore: CLAUDE.md
Shared conventions any agent may read, so they name no particular tool.
Seen in the repository: AGENTS.md
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing SLOPE adds 6 packages (4 with compiled code, 18 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 4.1.0
Imports (3)
MatrixmethodsRcpp
Enhances (0)
none
Reverse dependencies
1direct
1indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (19)
Author, Maintainer since 0.2.1 (2020) · added in 0.2.1
Author · added in 0.5.0
Author · added in 0.4.0
Author · added in 0.4.0
Author · added in 1.0.0
Author · added in 1.0.0
Author
Author · added in 0.2.1
Contributor · added in 0.2.1
code adapted from 'glmnet'
Contributor · added in 0.2.1
code adapted from 'glmnet'
Contributor · added in 0.2.1
code adapted from 'glmnet'
Contributor · added in 0.2.1
code adapted from 'glmnet'
Contributor · added in 0.2.1
code adapted from 'glmnet'
Contributor · added in 0.2.1
code adapted from 'glmnet'

Previously maintained by Evan Patterson (0.1.1 to 0.1.3).

Listed in earlier versions (1)
Akarsh Goyal
no longer listed · 0.3.2 to 0.5.2
Releases (18)

Pick two releases to compare their code metrics.

Show 14 earlier eventsHide 14 earlier events
  • 0.4.0
    record
    2021-12-10 · diff ↗ ·
    added 2 exports
    regularizationWeights, sortedL1Prox
  • R
    R 4.1.0 released · 2021-05-18
  • 0.3.3
    record
    2021-03-17 · diff ↗
  • 0.3.2
    record
    2020-07-10 · diff ↗
  • 0.3.0
    record
    2020-07-02 · diff ↗ ·
    removed 3 exports
    SLOPE_solver, create_lambda, prox_sorted_L1
  • R
    R 4.0.0 released · 2020-04-24
  • 0.2.1
    record
    2020-04-16 · diff ↗ ·
    removed 1 export
    SLOPE_solver_matlab
    added 4 exports
    caretSLOPE, plotDiagnostics, score, trainSLOPE
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.1.3
    record
    2015-11-03 · diff ↗
  • 0.1.1
    record
    2015-04-27
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2015-04-27
Total releases
18 / 11 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
55 KB / 6 files
Download size
489 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("SLOPE")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.48550/arxiv.2511.02430, 10.1214/15-aoas842.

The repository also keeps a CITATION.cff.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SLOPE version 2.1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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