R Observatory: Metrics for SparseBiplots version 4.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SparseBiplots

4.1.1

'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'

0packages depend

2.3Kdownloads / year

59.8%test coverage

13/13checks pass

Overview

About

Maintained by Mitzi Isabel Cubilla-MontillaFirst published 2019-07-025 releasesCRAN page ↗GitHub ↗

The 'HJ-Biplot' is a multivariate method that represents high-dimensional data in a low-dimensional subspace, capturing most of the information’s variability in just a few dimensions. This package implements three new regularized versions of the HJ-Biplot: Ridge, LASSO, and Elastic Net. These versions introduce restrictions that shrink or zero-out variable weights to improve interpretability based on regularization theory. All methods provide graphical representations using 'ggplot2'.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SparseBiplots", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mitzicubillamontilla/SparseBiplots")

Development version from mitzicubillamontilla/SparseBiplots. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-sparsebiplots

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SparseBiplots

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-SparseBiplots

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.53

59.8%

Coverage · measured lines

100%

Documentation · exports

4

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

READMEYes · 694 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 80%

Downloads

2.3K

CRAN downloads in the past year

Rank #20,849 · ~6/day · ~188/mo

Releases R versions

Daily download trend is not available in this view yet.

10030 days

53990 days

2.3K1 year

Compare downloads with other packages →

Also on102 r2u9 autocran

Repository

GitHub ↗ mitzicubillamontilla/sparsebiplots

2Stars

0Forks

1Open issues

0Open PRs

0Releases

102Commits

2Contributors

102 commits · Last activity 2025-07-04

Issues over time

2026-07-14 · 02026-07-21 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mitzicubillamontilla/sparsebiplots on 2026-08-09.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.3.0ggplot2

Imports (3)

ggrepelstatssparsepca

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Mitzi Isabel Cubilla-Montilla

Author, Maintainer · added in 4.0.0

Authors (4)

Mitzi Isabel Cubilla-Montilla

Author, Maintainer · added in 4.0.0

Maria Purificación Galindo Villardón

Author

Ana Belen Nieto-Librero

Author · added in 4.0.0

Carlos Alfredo Torres-Cubilla

Author · added in 4.0.0

Listed in earlier versions (8)

Mitzi Cubilla-Montilla

no longer listed · 3.5.0

Ana Belen Nieto Librero

no longer listed · 3.5.0

Carlos Torres

no longer listed · 3.5.0

Purificacion Galindo Villardon

no longer listed · 3.5.0 to 4.0.1

Cubilla-Montilla

no longer listed · 4.0.2 to 4.1.1

Galindo Villardón

no longer listed · 4.0.2 to 4.1.1

Nieto-Librero

no longer listed · 4.0.2 to 4.1.1

Torres-Cubilla

no longer listed · 4.0.2 to 4.1.1

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
4.1.1Latest
2025-07-11 · current release · diff ↗
4.0.2
2025-05-26 · 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
4.0.1
2021-10-24 · diff ↗
R
R 4.1.0 released · 2021-05-18
4.0.0
2020-06-28 · diff ↗
R
R 4.0.0 released · 2020-04-24
3.5.0
2019-07-02
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-07-02
Total releases: 5 / 7 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.3.0
Download size: 12 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SparseBiplots")

Format

Cubilla-Montilla, M. I., Galindo Villardón, M. P., Nieto-Librero, A. B., & Torres-Cubilla, C. A. (2025). SparseBiplots: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2' (Version 4.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SparseBiplots

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SparseBiplots version 4.1.1 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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