'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.


Reference manual

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4.0.0 by Mitzi Isabel Cubilla-Montilla, 5 months ago


Report a bug at https://github.com/mitzicubillamontilla/SparseBiplots/issues

Browse source code at https://github.com/cran/SparseBiplots

Authors: Mitzi Isabel Cubilla-Montilla <[email protected]> , Carlos Alfredo Torres-Cubilla <[email protected]> , Purificacion Galindo Villardon <[email protected]> and Ana Belen Nieto-Librero <[email protected]>

Documentation:   PDF Manual  

GPL (>= 3) license

Imports ggrepel, gtable, rlang, stats, sparsepca, testthat

Depends on ggplot2

See at CRAN