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NeuralSTATIS: Neural Network Enhanced STATIS Methodology for Three-Way Data Analysis

Combines Autoencoders with the STATIS (Structuring Three-way Arrays in Statistics) methodology for dimensional reduction and visualization of multi-way data (tables x individuals x variables). Methods are based on L'Hermier des Plantes (1976) and Carrera Buri & Galindo-Villardón (2026) <https://www.mdpi.com/1999-4893/19/8/637/pdf>.

Version: 0.1.0
Imports: dplyr, ggplot2, ggrepel, grid, gridExtra, reticulate, stats
Suggests: gganimate, gifski, testthat (≥ 3.0.0)
Published: 2026-09-12
DOI: 10.32614/CRAN.package.NeuralSTATIS
Author: Felix Miguel Carrera Buri [aut, cre]
Maintainer: Felix Miguel Carrera Buri <felix.carrera at xperty.com>
BugReports: https://github.com/fcarrer/NeuralSTATIS/issues
License: GPL-3
URL: https://github.com/fcarrer/NeuralSTATIS
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: NeuralSTATIS results

Documentation:

Reference manual: NeuralSTATIS.html , NeuralSTATIS.pdf

Downloads:

Package source: NeuralSTATIS_0.1.0.tar.gz
Windows binaries: r-devel: NeuralSTATIS_0.1.0.zip, r-release: NeuralSTATIS_0.1.0.zip, r-oldrel: NeuralSTATIS_0.1.0.zip
macOS binaries: r-release (arm64): NeuralSTATIS_0.1.0.tgz, r-oldrel (arm64): NeuralSTATIS_0.1.0.tgz, r-release (x86_64): NeuralSTATIS_0.1.0.tgz, r-oldrel (x86_64): NeuralSTATIS_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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