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SparseBiplots: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'
The 'HJ-Biplot' is a multivariate method that represents high-dimensional data in a low-dimensional subspace, capturing most of the information’s variability in just a few dimensions. This package implements three new regularized versions of the HJ-Biplot: Ridge, LASSO, and Elastic Net. These versions introduce restrictions that shrink or zero-out variable weights to improve interpretability based on regularization theory. All methods provide graphical representations using 'ggplot2'.
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Package details |
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| Author | Mitzi Isabel Cubilla-Montilla [aut, cre], Carlos Alfredo Torres-Cubilla [aut], Maria Purificación Galindo Villardón [aut], Ana Belen Nieto-Librero [aut] |
| Maintainer | Mitzi Isabel Cubilla-Montilla <mitzi@usal.es> |
| License | GPL (>= 3) |
| Version | 4.0.2 |
| URL | https://github.com/mitzicubillamontilla/SparseBiplots |
| Package repository | View on CRAN |
| Installation |
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