'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.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("SparseBiplots")

4.0.0 by Mitzi Isabel Cubilla-Montilla, 6 days ago


https://github.com/mitzicubillamontilla/SparseBiplots


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