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lmSubsets

0.5-4Package record

Exact Variable-Subset Selection in Linear Regression

0packages depend
5.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Exact and approximation algorithms for variable-subset selection in ordinary linear regression models. Either compute all submodels with the lowest residual sum of squares, or determine the single-best submodel according to a pre-determined statistical criterion. Hofmann et al. (2020) doi:10.18637/jss.v093.i03.

Install

Health

CRAN checks
13OK
Slowest check: 4.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-27
  • ERROR12 OK, 1 ERROR2026-06-14
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.5-4
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
30includes a package overview page
Examples that run
100%11 run in a plain check
Exported functions with examples
67%
Documented parameters
67%
Return-value docs
100%
Help pages citing references
17%

Downloads

5.9K
CRAN downloads in the past year
Rank #8,486 · ~16/day · ~492/mo
Daily download trend is not available in this view yet.
45230 days
1.1K90 days
5.9K1 year
Compare downloads with other packages →
Also on381 r2u10 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-01-15
Responsiveness
not measured
PracticesBeta

Checks run against github.com/marc-hofmann/lmsubsets.r on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing lmSubsets adds no packages beyond those that come with R.

Depends (1)
R >= 3.5.0
Imports (3)
statsgraphicsutils
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Author, Maintainer since 0.1 (2018)
Author · added in 0.3
Copyright holder
for the GSL Lite library
Copyright holder · added in 0.2
for the GSL Lite library
Listed in earlier versions (1)
Free Software Foundation, Inc.
no longer listed · 0.2 to 0.5-2
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.5-4Latest
    record
    2026-01-15 · current release · diff ↗
  • 0.5-3
    record
    2026-01-13 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.5-2
    record
    2021-02-07 · diff ↗
  • 0.5-1
    record
    2020-05-23 · diff ↗
  • 0.5
    record
    2020-04-28 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4
    record
    2019-03-07 · diff ↗
  • 0.3
    record
    2018-05-01 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
Show 3 earlier eventsHide 3 earlier events

Package metadata

First published
2018-03-22
Total releases
9 / 8 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
325 KB / 2 files
Download size
1.0 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lmSubsets")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 lmSubsets version 0.5-4 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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