BiplotML: Biplots Estimation with Algorithms ML

Logistic Biplot is a method that allows representing multivariate binary data on a subspace of low dimension, where each individual is represented by a point and each variable as vectors directed through the origin. The orthogonal projection of individuals onto these vectors predicts the expected probability that the characteristic occurs. The package contains new techniques to estimate the model parameters and constructs in each case the 'Logistic-Biplot'. References can be found in the help of each procedure.

Version: 1.1.0
Depends: R (≥ 4.1), optimr, optimx, shapes
Suggests: testthat, knitr, rmarkdown, RSpectra, dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), ggplot2 (≥ 3.3.2), ggrepel, pracma, mvtnorm
Published: 2022-04-22
Author: Jose Giovany Babativa-Marquez ORCID iD [cre, aut]
Maintainer: Jose Giovany Babativa-Marquez <gbabativam at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: BiplotML citation info
Materials: README
CRAN checks: BiplotML results


Reference manual: BiplotML.pdf


Package source: BiplotML_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BiplotML_1.1.0.tgz, r-oldrel (arm64): BiplotML_1.1.0.tgz, r-release (x86_64): BiplotML_1.1.0.tgz, r-oldrel (x86_64): BiplotML_1.1.0.tgz
Old sources: BiplotML archive


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