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FWDselect

2.1.1Package record

Selecting Variables in Regression Models

0packages depend
3.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1.1
READMENoVignettesNoNEWSYes · 67% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Description cites an R Journal article
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

3.7K
CRAN downloads in the past year
Rank #9,852 · ~10/day · ~312/mo
Daily download trend is not available in this view yet.
41130 days
1K90 days
3.7K1 year
Compare downloads with other packages →
Also on76 r2u7 autocran1.8K conda_forge

Repository

2Stars
1Forks
1Open issues
0Open PRs
2Releases
53Commits
2Commit identities
rfeature-selectionfeature-engineeringvariable-selectionvariable-importanceregresssionmachine-learning-algorithmsnonparametric
53 commits · Last activity 2026-04-22
Responsiveness
not measured

Stars over time

2024-05-22 · 22026-07-07 · 2
PracticesBeta

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.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

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.

Depends (1)
R >= 3.1.0
Imports (5)
cvToolsmgcvparallelgraphicsstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2012), Copyright holder
Author, Copyright holder
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • R
    R 3.0.0 released · 2013-04-03
  • 2.15.3Latest
    record
    2013-02-01 · current release · diff ↗
  • 2.15.2
    record
    2012-06-29 · diff ↗ ·
    added 1 export
    pattern:^[[:alpha:]]+
Show 7 earlier eventsHide 7 earlier events

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

Cite this package

Run in R for the authors' preferred citation:

citation("FWDselect")
Sestelo, M., M. Villanueva, N., & Roca-Pardinas, J. (2026). FWDselect: Selecting Variables in Regression Models (Version 2.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.FWDselect

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 FWDselect version 2.1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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