SparseBiplots (version 4.0.1)

'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'

Description

'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.

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Install

install.packages('SparseBiplots')

Monthly Downloads

152

Version

4.0.1

License

GPL (>= 3)

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Last Published

October 24th, 2021

Functions in SparseBiplots (4.0.1)