Exact Variable-Subset Selection in Linear Regression
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-27
- ERROR12 OK, 1 ERROR2026-06-14
- OK14 OK2026-03-10
Documentation
- 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
Repository
Checks run against github.com/marc-hofmann/lmsubsets.r on 2026-10-11.
No development-tooling practices detected in the upstream repository.
Dependencies
Installing lmSubsets adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.5-4Latest
- 0.5-32026-01-13 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.5-22021-02-07 · diff ↗
- 0.5-12020-05-23 · diff ↗
- 0.52020-04-28 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.42019-03-07 · diff ↗
- 0.32018-05-01 · diff ↗
- RR 3.5.0 released · 2018-04-23
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.
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.