Selecting Variables in Regression Models
Overview
A simple method to select the best model or best subset of variables using different types of data (binary, Gaussian or Poisson) and applying it in different contexts (parametric or non-parametric). Implemented methodology described in: M. Sestelo, N. M. Villanueva, L. Meira-Machado and J. Roca-Pardiñas (2016). FWDselect: an R package for variable selection in regression models. The R Journal, 8 (1), 132-148. doi:10.32614/RJ-2016-009.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 10 (1 internal)includes a package overview page
- Examples that run
- 100%9 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 30%
Downloads
Repository
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Issues over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/sestelo/fwdselect on 2026-10-18.
Dependencies
Installing FWDselect adds 3 packages (1 with compiled code, 2.3 MB of source tarballs). Heaviest: robustbase 2.2 MB, cvTools 61 KB, DEoptimR 24 KB.
Code & Tests
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People & History
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- RR 4.6.0 released · 2026-04-24
- 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
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- 2.15.3Latest
- 2.15.2
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Package metadata
- First published
- 2012-06-29
- Total releases
- 8 / 14 yrs
- License
- MIT + file LICENSE OSI · relicensed from GPL in 2.0
- Minimum R
- ≥ 3.1.0
- Bundled data
- 106 KB / 3 files
- Download size
- 124 KB
Cite
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citation("FWDselect")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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