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guidedPLS

1.2.1

Supervised Dimensional Reduction by Guided Partial Least Squares

0packages depend
5.7Kdownloads / year
72.4%test coverage
11/13checks pass

Overview

About
Maintained by Koki TsuyuzakiFirst published 2023-03-224 releasesCRAN page ↗GitHub ↗

Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). This package provides implementations of PLS-SVD, guided-PLS, and guided-PCA for supervised dimensionality reduction. The guided-PCA function (new in v1.1.0) automatically handles mixed data types (continuous and categorical) in the supervision matrix and provides detailed contribution analysis for interpretability. For the details of the methods, see the reference section of GitHub README.md https://github.com/rikenbit/guidedPLS.

Install

Health

CRAN checks
2WARNING11OK
Failing flavors
  • WARNING r-oldrel-macos-x86_64
  • WARNING r-release-macos-x86_64
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.52
72.4%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • WARNING2026-06-29
    10 OK · 0 NOTE · 3 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
63%

Downloads

5.7K
CRAN downloads in the past year
Rank #8,151 · ~16/day · ~473/mo
Daily download trend is not available in this view yet.
22330 days
1.1K90 days
5.7K1 year
Compare downloads with other packages →
Also on106 r2u23 autocran

Repository

Repository
1Stars
0Forks
0Open issues
0Open PRs
4Releases
13Commits
1Contributors
13 commits · Last activity 2026-06-28 · 0% stars, 30d

Stars over time

2026-03-07 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/rikenbit/guidedpls on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
Dockerfile
Governance and community (1)
Issue templates
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-05-30

claude

Most recent: claude on 2026-05-30

Evidence
  • claude: on 2026-05-30 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4.0
Imports (3)
irlbaMatrixstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.2.1Latest
    2026-06-28 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0
    2025-08-25 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.0
    2023-05-12 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.99.0
    2023-03-22
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-22
Total releases
4 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.4.0
Download size
271 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("guidedPLS")
Tsuyuzaki, K. (2026). guidedPLS: Supervised Dimensional Reduction by Guided Partial Least Squares (Version 1.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.guidedPLS

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 guidedPLS version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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