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'.
- Version4.0.2
- R versionR (≥ 3.3.0)
- LicenseGPL (≥ 3)
- Needs compilation?No
- SparseBiplots citation info
- Last release05/26/2025
Documentation
Team
Mitzi Isabel Cubilla-Montilla
MaintainerShow author detailsPurificacion Galindo Villardon
Show author detailsRolesAuthorAna Belen Nieto-Librero
Show author detailsRolesAuthorMaria Purificación Galindo Villardón
Show author detailsRolesAuthorCarlos Alfredo Torres-Cubilla
Show author detailsRolesAuthor
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