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:
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