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BiplotML: Logistic Biplot Estimation Using Machine Learning Algorithms

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).

Version: 1.1.1
Depends: R (≥ 4.1.0)
Imports: optimx, RSpectra
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), ggplot2 (≥ 3.3.2), ggrepel, pracma, mvtnorm
Published: 2026-05-08
DOI: 10.32614/CRAN.package.BiplotML
Author: Jose Giovany Babativa-Marquez ORCID iD [cre, aut]
Maintainer: Jose Giovany Babativa-Marquez <jgbabativam at unal.edu.co>
BugReports: https://github.com/jgbabativam/BiplotML/issues
License: MIT + file LICENSE
URL: https://github.com/jgbabativam/BiplotML
NeedsCompilation: no
Citation: BiplotML citation info
Materials: NEWS
CRAN checks: BiplotML results

Documentation:

Reference manual: BiplotML.html , BiplotML.pdf

Downloads:

Package source: BiplotML_1.1.1.tar.gz
Windows binaries: r-devel: BiplotML_1.1.1.zip, r-release: BiplotML_1.1.1.zip, r-oldrel: BiplotML_1.1.1.zip
macOS binaries: r-release (arm64): BiplotML_1.1.1.tgz, r-oldrel (arm64): BiplotML_1.1.1.tgz, r-release (x86_64): BiplotML_1.1.1.tgz, r-oldrel (x86_64): BiplotML_1.1.1.tgz
Old sources: BiplotML archive

Linking:

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