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'.
| Version: | 4.0.2 |
| Depends: | R (≥ 3.3.0), ggplot2 |
| Imports: | ggrepel, stats, sparsepca |
| Suggests: | testthat |
| Published: | 2025-05-26 |
| DOI: | 10.32614/CRAN.package.SparseBiplots |
| 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 at usal.es> |
| BugReports: | https://github.com/mitzicubillamontilla/SparseBiplots/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/mitzicubillamontilla/SparseBiplots |
| NeedsCompilation: | no |
| Citation: | SparseBiplots citation info |
| Materials: | README |
| CRAN checks: | SparseBiplots results |
| Reference manual: | SparseBiplots.pdf |
| Package source: | SparseBiplots_4.0.2.tar.gz |
| Windows binaries: | r-devel: SparseBiplots_4.0.2.zip, r-release: SparseBiplots_4.0.2.zip, r-oldrel: SparseBiplots_4.0.2.zip |
| macOS binaries: | r-release (arm64): SparseBiplots_4.0.2.tgz, r-oldrel (arm64): SparseBiplots_4.0.2.tgz, r-release (x86_64): SparseBiplots_4.0.2.tgz, r-oldrel (x86_64): SparseBiplots_4.0.2.tgz |
| Old sources: | SparseBiplots archive |
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