Package: SparseBiplots Type: Package Title: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2' Version: 4.1.1 Authors@R: c( person(given = c("Mitzi", "Isabel"), family = "Cubilla-Montilla", role = c("aut", "cre"), email = "mitzi@usal.es"), person(given = c("Carlos", "Alfredo"), family = "Torres-Cubilla", role = "aut", email = "carlos_t22@usal.es"), person(given = c("Maria", "Purificación"), family = "Galindo Villardón", role = "aut", email = "pgalindo@usal.es"), person(given = c("Ana", "Belen"), family = "Nieto-Librero", role = "aut", email = "ananieto@usal.es") ) Maintainer: Mitzi Isabel Cubilla-Montilla Description: 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'. License: GPL (>= 3) Encoding: UTF-8 Depends: R (>= 3.3.0), ggplot2 Imports: ggrepel, stats, sparsepca Suggests: testthat URL: https://github.com/mitzicubillamontilla/SparseBiplots BugReports: https://github.com/mitzicubillamontilla/SparseBiplots/issues RoxygenNote: 7.3.2 NeedsCompilation: no Repository: https://mitzicubillamontilla.r-universe.dev Date/Publication: 2025-07-04 10:31:07 UTC RemoteUrl: https://github.com/mitzicubillamontilla/sparsebiplots RemoteRef: HEAD RemoteSha: f954772a6e3cc1203125b5764e3c4ed0594e97f6 Packaged: 2026-10-19 08:38:45 UTC; root Author: Mitzi Isabel Cubilla-Montilla [aut, cre], Carlos Alfredo Torres-Cubilla [aut], Maria Purificación Galindo Villardón [aut], Ana Belen Nieto-Librero [aut]