SLOPE

Sorted L1 Penalized Estimation

https://github.com/jolars/slope

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    1 of 7 committers (14.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.5%) to scientific vocabulary

Keywords

generalized-linear-models r slope sparse-regression
Last synced: 6 months ago · JSON representation ·

Repository

Sorted L1 Penalized Estimation

Basic Info
Statistics
  • Stars: 19
  • Watchers: 4
  • Forks: 11
  • Open Issues: 0
  • Releases: 10
Topics
generalized-linear-models r slope sparse-regression
Created almost 6 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog License Code of conduct Citation

README.Rmd

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# SLOPE 


[![R build status](https://github.com/jolars/SLOPE/workflows/R-CMD-check/badge.svg)](https://github.com/jolars/SLOPE/actions)
[![Coverage status](https://codecov.io/gh/jolars/SLOPE/graph/badge.svg?token=SmorGv47Zg)](https://app.codecov.io/github/jolars/SLOPE)
[![CRAN status](https://www.r-pkg.org/badges/version/SLOPE)](https://CRAN.R-project.org/package=SLOPE)
[![Codecov test coverage](https://codecov.io/gh/jolars/SLOPE/graph/badge.svg)](https://app.codecov.io/gh/jolars/SLOPE)


Efficient implementations for Sorted L-One Penalized Estimation
(SLOPE): generalized linear models regularized with the sorted L1-norm.
There is support for
ordinary least-squares regression, binomial regression, multinomial
regression, and poisson regression, as well as both dense and sparse
predictor matrices. In addition, the package features predictor screening
rules that enable efficient solutions to high-dimensional problems.

## Installation

You can install the current stable release from
[CRAN](https://cran.r-project.org/) with

``` r
install.packages("SLOPE")
```

or the development version from [GitHub](https://github.com/) with

``` r
# install.packages("remotes")
remotes::install_github("jolars/SLOPE")
```

## Versioning

SLOPE uses [semantic versioning](https://semver.org).

## Code of conduct

Please note that the 'SLOPE' project is released with a
[Contributor Code of Conduct](https://jolars.github.io/SLOPE/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.

Owner

  • Name: Johan Larsson
  • Login: jolars
  • Kind: user
  • Location: Lund, Sweden
  • Company: University of Copenhagen

Postdoc in statistics at the Department of Mathematical Sciences, University of Copenhagen

Citation (CITATION.cff)

cff-version: 1.2.0
title: 'SLOPE: Sorted L1 Penalized Estimation'
message: >-
  If you use this software, please cite it using
  these metadata.
type: software
authors:
  - given-names: Johan
    family-names: Larsson
    email: johanlarsson@outlook.com
    affiliation: 'Department of Statistics, Lund University'
    orcid: 'https://orcid.org/0000-0002-4029-5945'
  - given-names: Jonas
    family-names: Wallin
    email: jonas.wallin@stat.lu.se
    affiliation: 'Department of Statistics, Lund University'
    orcid: 'https://orcid.org/0000-0003-0381-6593'
  - given-names: Malgorzata
    family-names: Bogdan
    orcid: 'https://orcid.org/0000-0002-0657-4342'
    email: malgorzata.bogdan@stat.lu.se
  - given-names: Ewout
    name-particle: van der
    family-names: Berg
  - given-names: Chiara
    family-names: Sabatti
  - given-names: Emmanuel
    family-names: Candes
  - given-names: Evan
    family-names: Patterson
  - given-names: Weijie
    family-names: Su
  - given-names: Jakub
    family-names: Kała
  - given-names: Krystyna
    family-names: Grzesiak
  - given-names: Michal
    family-names: Burdukiewicz
    orcid: 'https://orcid.org/0000-0001-8926-582X'
  - given-names: Mathurin
    family-names: Massias
    orcid: 'https://orcid.org/0000-0002-8950-0356'
  - given-names: Quentin
    family-names: Klopfenstein
    orcid: 'https://orcid.org/0000-0002-5771-6013'
repository-code: 'https://github.com/jolars/SLOPE'
url: 'https://jolars.github.io/SLOPE/'
abstract: >-
  Efficient implementations for Sorted L-One
  Penalized Estimation (SLOPE): generalized linear
  models regularized with the sorted L1-norm (Bogdan
  et al. (2015) <doi:10.1214/15-AOAS842>). 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.
keywords:
  - SLOPE
  - regularization
  - sparse regression
  - generalized linear models
license: GPL-3.0-or-later

GitHub Events

Total
  • Issues event: 23
  • Watch event: 1
  • Delete event: 11
  • Issue comment event: 8
  • Push event: 135
  • Pull request review event: 9
  • Pull request review comment event: 13
  • Pull request event: 21
  • Fork event: 1
  • Create event: 12
Last Year
  • Issues event: 23
  • Watch event: 1
  • Delete event: 11
  • Issue comment event: 8
  • Push event: 135
  • Pull request review event: 9
  • Pull request review comment event: 13
  • Pull request event: 21
  • Fork event: 1
  • Create event: 12

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 385
  • Total Committers: 7
  • Avg Commits per committer: 55.0
  • Development Distribution Score (DDS): 0.6
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Johan Larsson m****l@l****m 154
Johan Larsson j****n@o****m 152
KrystynaGrzesiak k****1@g****m 42
jakubkala k****6@g****m 32
KrystynaGrzesiak 4****k 3
Michał Burdukiewicz m****z@g****m 1
DominikRafacz d****z@s****l 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 21
  • Total pull requests: 25
  • Average time to close issues: 8 months
  • Average time to close pull requests: 5 months
  • Total issue authors: 5
  • Total pull request authors: 7
  • Average comments per issue: 0.86
  • Average comments per pull request: 0.8
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 8
Past Year
  • Issues: 5
  • Pull requests: 14
  • Average time to close issues: 4 days
  • Average time to close pull requests: 14 days
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 0.4
  • Average comments per pull request: 0.07
  • Merged pull requests: 4
  • Bot issues: 0
  • Bot pull requests: 7
Top Authors
Issue Authors
  • jolars (17)
  • straw-boy (1)
  • KrystynaGrzesiak (1)
  • michbur (1)
  • RomanParzer (1)
Pull Request Authors
  • dependabot[bot] (13)
  • jolars (7)
  • kushagragpt99 (3)
  • Chaitany1729 (2)
  • jakubkala (2)
  • KrystynaGrzesiak (1)
  • straw-boy (1)
Top Labels
Issue Labels
bug (3) enhancement (2) help wanted (1) discussion (1) good first issue (1) GSOC (1)
Pull Request Labels
dependencies (13) github_actions (2)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 432 last-month
  • Total dependent packages: 3
  • Total dependent repositories: 4
  • Total versions: 13
  • Total maintainers: 1
cran.r-project.org: SLOPE

Sorted L1 Penalized Estimation

  • Versions: 13
  • Dependent Packages: 3
  • Dependent Repositories: 4
  • Downloads: 432 Last month
Rankings
Forks count: 7.3%
Dependent packages count: 10.9%
Stargazers count: 12.9%
Dependent repos count: 14.6%
Average: 16.7%
Downloads: 37.7%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
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  • testthat >= 2.1.0 suggests
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