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Relevant Component Analysis for Supervised Distance Metric Learning

0packages depend
10.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Relevant Component Analysis (RCA) tries to find a linear transformation of the feature space such that the effect of irrelevant variability is reduced in the transformed space.

Changes in 1.7.1
  • Fix R CMD check notes for r-devel on invalid file URIs in README.md.
  • Use GitHub Actions workflows to run R CMD check and build pkgdown website.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 46 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.7.1
READMEYes · 79 wordsVignettesNoNEWSYes · 67% structured · mentions 1.7.1Citation fileNoWebsiteYes · pkgdown
Help pages
2 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

10.7K
CRAN downloads in the past year
Rank #2,223 · ~29/day · ~889/mo
Daily download trend is not available in this view yet.
2.1K30 days
7.9K90 days
10.7K1 year
Compare downloads with other packages →
Also on69 r2u3 autocran

Repository

7Stars
2Forks
0Open issues
0Open PRs
4Releases
75Commits
1Commit identities
machine-learningmetric-learning
License file reads as GPL-3.0 · 75 commits · Last activity 2025-07-30
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
1,814
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/nanxstats/reca on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

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

Governance and community (2)
Code of conductContributing guide
Docs source (3)
pkgdown

GitHub Pages site last deployed 2025-08-21 · The repository has a site deploy workflow

pkgdown site last built 2025-08-21

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

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

Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
MASS
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2014), Copyright holder
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.7.1Latest
    record
    2025-07-28 · current release · 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
  • R
    R 4.0.0 released · 2020-04-24
  • 1.7
    record
    2019-05-17 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.6
    record
    2018-05-16 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.5
    record
    2018-04-20 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.3
    record
    2016-11-12 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.2.0 released · 2015-04-16
  • 1.1
    record
    2014-12-16 · diff ↗
  • 1.0
    record
    2014-08-16
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-08-16
Total releases
7 / 12 yrs
License
GPL (>= 3) OSI
Download size
40 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RECA")
Xiao, N. (2025). RECA: Relevant Component Analysis for Supervised Distance Metric Learning (Version 1.7.1) [Computer software]. https://doi.org/10.32614/CRAN.package.RECA

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 RECA version 1.7.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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