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abess

0.4.11Package record

Fast Best Subset Selection

0packages dependsuggested by 1
15.4Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Extremely efficient toolkit for solving the best subset selection problem https://www.jmlr.org/papers/v23/21-1060.html. This package is its R interface. The package implements and generalizes algorithms designed in doi:10.1073/pnas.2014241117 that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, Ising model reconstruction doi:10.1080/01621459.2025.2571245, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection doi:10.1287/ijoc.2022.1241 and sure independence screening doi:10.1111/j.1467-9868.2008.00674.x are also provided.

Changes in 0.4.11
  • Add a new function slide that supports Ising model reconstruction
  • The maintainer's changed from <zhuj37@mail2.sysu.edu.cn> to <zhuj1jqx@gmail.com>.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.6 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
  • OK13 OK2026-07-08
Show 9 earlier changesHide 9 earlier changes
  • ERROR12 OK, 1 ERROR2026-07-07
  • OK13 OK2026-07-01
  • ERROR12 OK, 1 ERROR2026-06-30
  • OK13 OK2026-06-27
  • ERROR12 OK, 1 ERROR2026-06-21
  • OK12 OK2026-04-25
  • 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 0.4.11
READMEYes · 552 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.4.11Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
22 (1 internal)includes a package overview page
Examples that run
67%6 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
78%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
23%

Downloads

15.4K
CRAN downloads in the past year
Rank #3,448 · ~42/day · ~1.3K/mo
Daily download trend is not available in this view yet.
1.2K30 days
3.1K90 days
15.4K1 year
Compare downloads with other packages →
Also on463 r2u25 autocran118 c2d4u

Repository

468Stars
43Forks
10Open issues
0Open PRs
17Releases
2,835Commits
19Commit identities
polynomial-algorithmhigh-dimensional-databest-subset-selectionmachine-learningpythonrscikit-learnprincipal-component-analysis
2,835 commits · Last activity 2026-03-15 · -1.1% stars, 30d · Discussions: 2 posts
Responsiveness
How these are sampled
PRs merged (all time)
94%
Median days to close, 50 most recently updated closed issues
22
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-09-04 · 4712026-10-21 · 468
PracticesBeta

10 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/abess-team/abess on 2026-10-18.

Continuous integration (3)
GitHub ActionsR CMD check workflowTravis CI (config file)

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

Governance and community (2)
Code of conductIssue templates
Docs source (2)

GitHub Pages site last deployed 2026-03-04 · The repository has a site deploy workflow

pkgdown site last built 2026-03-04

Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 2 practices
Lint, format, editor (1)
lintr
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-02-26
    Commits: at least 33 crediting it in the message
Models named in its commits
  • Claude Opus 4.62 commits · Mar 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing abess adds 11 packages (8 with compiled code, 11 MB of source tarballs). Heaviest: igraph 4.8 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 3.1.0
Imports (5)
RcppMASSmethodsMatrixigraph
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (13)
Author, Maintainer since 0.1.0 (2021)
Author
Author · added in 0.2.0
Author · added in 0.3.0
Author · added in 0.4.0
Author · added in 0.4.0
Copyright holder · added in 0.2.0
Spectra implementation
Releases (11)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4.11Latest
    record
    2025-12-08 · current release · diff ↗ ·
    added 2 exports
    generate.bmn.data, slide
  • R
    R 4.5.0 released · 2025-04-11
  • 0.4.10
    record
    2025-04-05 · diff ↗
  • 0.4.9
    record
    2024-09-09 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.4.8
    record
    2023-09-19 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.4.7
    record
    2023-02-20 · diff ↗
  • unarchivedReturned to CRAN
    2023-02-19
  • archivedRemoved from CRAN
    2023-02-18
    configure issues were not corrected in time 'CXX' not set correctly
  • 0.4.6
    record
    2022-11-06 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.4.5
    record
    2022-03-22 · diff ↗
  • 0.4.0
    record
    2021-12-08 · diff ↗ ·
    added 3 exports
    abessrpca, generate.matrix, generate.spc.matrix
  • 0.3.0
    record
    2021-09-03 · diff ↗
Show 4 earlier eventsHide 4 earlier events
  • 0.2.0
    record
    2021-07-31 · diff ↗ ·
    added 1 export
    abesspca
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    record
    2021-04-21
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-21
Total releases
11 / 5 yrs
License
GPL (>= 3) | file LICENSE OSI
Minimum R
≥ 3.1.0
Bundled data
90 KB / 1 file
Download size
777 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("abess")

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

It points to 10.1073/pnas.2014241117, 10.1287/ijoc.2022.1241.

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 abess version 0.4.11 [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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