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SparseBiplots: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'
'HJ-Biplot' is a multivariate method that allow represent multivariate data on a subspace of low dimension, in such a way that most of the variability of the information is captured in a few dimensions. This package implements three new techniques and constructs in each case the 'HJ-Biplot', adapting restrictions to reduce weights and / or produce zero weights in the dimensions, based on the regularization theories. It implements three methods of regularization: Ridge, LASSO and Elastic Net.
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Package details |
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| Author | Mitzi Isabel Cubilla-Montilla <mitzi@usal.es>, Carlos Alfredo Torres-Cubilla <carlos_t22@usal.es>, Purificacion Galindo Villardon <pgalindo@usal.es> and Ana Belen Nieto-Librero <ananieto@usal.es> |
| Maintainer | Mitzi Isabel Cubilla-Montilla <mitzi@usal.es> |
| License | GPL (>= 3) |
| Version | 4.0.1 |
| URL | https://github.com/mitzicubillamontilla/SparseBiplots |
| Package repository | View on CRAN |
| Installation |
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