Skip to content

kpcaIG

1.0.1

Variables Interpretability with Kernel PCA

0packages depend
1.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Mitja BriscikFirst published 2024-07-212 releasesCRAN page ↗

The kernelized version of principal component analysis (KPCA) has proven to be a valid nonlinear alternative for tackling the nonlinearity of biological sample spaces. However, it poses new challenges in terms of the interpretability of the original variables. 'kpcaIG' aims to provide a tool to select the most relevant variables based on the kernel PCA representation of the data as in Briscik et al. (2023) doi:10.1186/s12859-023-05404-y. It also includes functions for 2D and 3D visualization of the original variables (as arrows) into the kernel principal components axes, highlighting the contribution of the most important ones.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
25%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

1.8K
CRAN downloads in the past year
Rank #22,052 · ~5/day · ~152/mo
Daily download trend is not available in this view yet.
13630 days
50790 days
1.8K1 year
Compare downloads with other packages →
Also on88 r2u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (9)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

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

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.1Latest
    2025-03-28 · current release · diff ↗
  • 1.0
    2024-07-21
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-21
Total releases
2 / 2 yrs
License
GPL-3 OSI
Download size
8.1 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("kpcaIG")
Briscik, M., Déjean, S., & Heimida, M. (2025). kpcaIG: Variables Interpretability with Kernel PCA (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.kpcaIG

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 kpcaIG version 1.0.1 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy