R Observatory: Metrics for BiplotML version 1.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BiplotML

1.1.1

Logistic Biplot Estimation Using Machine Learning Algorithms

0packages depend

1.3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jose Giovany Babativa-MarquezFirst published 2026-05-083 releasesCRAN page ↗GitHub ↗

Implements methods for fitting logistic biplot models to multivariate binary data. The logistic biplot represents individuals as points and binary variables as directed vectors in a low-dimensional subspace; the orthogonal projection of each individual onto a variable vector approximates the expected probability that the corresponding characteristic is present. Available fitting methods include conjugate gradient algorithms, a coordinate descent Majorization-Minimization (MM) algorithm, and a block coordinate descent algorithm based on data projection that supports matrices with missing values and allows new individuals to be projected as supplementary rows without refitting the model. A cross-validation procedure is provided to select the number of latent dimensions k. References: Babativa-Marquez and Vicente-Villardon (2021) doi:10.3390/math9162015; Vicente-Villardon and Galindo (2006, ISBN:9780470973196).

Install

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

install.packages("BiplotML", 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("jgbabativam/BiplotML")

Development version from jgbabativam/BiplotML. 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-biplotml

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-BiplotML

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-BiplotML

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

Health

CRAN checks

13OK

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

2

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
OK2026-05-09
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 27%
Documented parameters: 100%
Return-value docs: 100%
References docs: 64%

Downloads

1.3K

CRAN downloads in the past year

Rank #9,045 · ~4/day · ~112/mo

Releases R versions

Daily download trend is not available in this view yet.

19930 days

1K90 days

1.3K1 year

Compare downloads with other packages →

Also on91 r2u37 autocran

Repository

GitHub ↗ jgbabativam/biplotml

1Stars

0Forks

0Open issues

0Open PRs

0Releases

33Commits

1Contributors

33 commits · Last activity 2026-05-03 · 0% stars, 30d

Stars over time

2026-05-16 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jgbabativam/biplotml on 2026-08-16.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (2)

optimx RSpectra

LinkingTo (0)

none

Suggests (9)

testthat knitr rmarkdown dplyr tidyr ggplot2 ggrepel pracma mvtnorm

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)

Maintainer (1)

Jose Giovany Babativa-Marquez

Maintainer, Author

Authors (1)

Jose Giovany Babativa-Marquez

Maintainer, Author

Package Timeline

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

1.1.1Latest
2026-05-08 · current release · diff ↗
unarchivedReturned to CRAN
2026-05-08
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2023-10-29
requires archived package 'optimr'
R
R 4.3.0 released · 2023-04-21
1.1.0
2022-04-22 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.1
2021-06-23
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2026-05-08
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 0.6 KB / 1 file
Download size: 31 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BiplotML")

Format

Babativa-Marquez, J. G. (2026). BiplotML: Logistic Biplot Estimation Using Machine Learning Algorithms (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.BiplotML

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 BiplotML version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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