Neural Network Enhanced STATIS Methodology for Three-Way Data Analysis [R package NeuralSTATIS version 0.1.0]

Felix Miguel Carrera Buri

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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, 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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