Package: SparseBiplots 4.0.1

Mitzi Isabel Cubilla-Montilla

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.

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]>

SparseBiplots_4.0.1.tar.gz
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SparseBiplots.pdf |SparseBiplots.html✨
SparseBiplots/json (API)

# Install 'SparseBiplots' in R:

install.packages('SparseBiplots', repos = c('https://mitzicubillamontilla.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mitzicubillamontilla/sparsebiplots/issues

On CRAN:

3.00 score 2 stars 1 scripts 138 downloads 5 exports 50 dependencies

Last updated 3 years agofrom:195ad4ec95. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 31 2024
R-4.5-win	NOTE	Oct 31 2024
R-4.5-linux	NOTE	Oct 31 2024
R-4.4-win	NOTE	Oct 31 2024
R-4.4-mac	NOTE	Oct 31 2024
R-4.3-win	NOTE	Oct 31 2024
R-4.3-mac	NOTE	Oct 31 2024