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.
- Version4.0.1
- R version≥ 3.3.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- SparseBiplots citation info
- Last release10/24/2021
Team
Mitzi Isabel Cubilla-Montilla
Purificacion Galindo Villardon
Show author detailsRolesAuthorCarlos Alfredo Torres-Cubilla
Show author detailsRolesAuthorAna Belen Nieto-Librero
Show author detailsRolesAuthor
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- Depends1 package
- Imports5 packages