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kpcaIG

1.0.1Package record

Variables Interpretability with Kernel PCA

0packages depend
2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 2.0 min · r-oldrel-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 1.0.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
25%1 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2K
CRAN downloads in the past year
Rank #23,272 · ~5/day · ~163/mo
Daily download trend is not available in this view yet.
19230 days
56790 days
2K1 year
Compare downloads with other packages →
Also on62 r2u

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing kpcaIG adds 50 packages (22 with compiled code, 42 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, rgl 4.0 MB.

Depends (0)
none
Imports (9)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.0 (2024)
Releases (2)

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
  • 1.0.1Latest
    record
    2025-03-28 · current release · diff ↗
  • 1.0
    record
    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

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 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 kpcaIG version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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