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bootPLS

1.2.0

Bootstrap Hyperparameter Selection for PLS Models and Extensions

0packages depend
6.5Kdownloads / year
73.1%test coverage
13/13checks pass

Overview

About
Maintained by Frederic BertrandFirst published 2021-07-154 releasesCRAN page ↗GitHub ↗

Several implementations of non-parametric stable bootstrap-based techniques to determine the numbers of components for Partial Least Squares linear or generalized linear regression models as well as and sparse Partial Least Squares linear or generalized linear regression models. The package collects techniques that were published in a book chapter (Magnanensi et al. 2016, 'The Multiple Facets of Partial Least Squares and Related Methods', doi:10.1007/978-3-319-40643-5_18) and two articles (Magnanensi et al. 2017, 'Statistics and Computing', doi:10.1007/s11222-016-9651-4) and (Magnanensi et al. 2021, 'Frontiers in Applied Mathematics and Statistics', doi:10.3389/fams.2021.693126).

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.10
73.1%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-28
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-24
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 783 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
94%
Documented parameters
97%
Return-value docs
100%
References docs
94%

Downloads

6.5K
CRAN downloads in the past year
Rank #7,862 · ~18/day · ~542/mo
Daily download trend is not available in this view yet.
27030 days
1.1K90 days
6.5K1 year
Compare downloads with other packages →
Also on136 r2u59 autocran

Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
1Releases
15Commits
1Contributors
15 commits · Last activity 2025-09-24 · 0% stars, 30d

Stars over time

2022-03-21 · 12026-07-07 · 3

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/fbertran/bootpls on 2026-08-23.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Maintainer, Author
Authors (3)
Maintainer, Author
Package Timeline

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

  • 1.2.0Latest
    2026-06-08 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0
    2025-09-14 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.1
    2024-09-24 · diff ↗
  • 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
  • 0.9.9
    2021-07-15
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-07-15
Total releases
4 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
13 KB / 1 file
Download size
96 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bootPLS")
Bertrand, F., Magnanensi, J., & Maumy-Bertrand, M. (2026). bootPLS: Bootstrap Hyperparameter Selection for PLS Models and Extensions (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.bootPLS

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 bootPLS version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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