Package: SparseBiplots
Type: Package
Title: 'HJ-Biplot' using Different Ways of Penalization Plotting with
        'ggplot2'
Version: 4.0.1
Author: 
  Mitzi Isabel Cubilla-Montilla <mitzi@usal.es>, 
  Carlos Alfredo Torres-Cubilla <carlos_t22@usal.es>,
  Purificacion Galindo Villardon <pgalindo@usal.es> and
  Ana Belen Nieto-Librero <ananieto@usal.es>
Maintainer: Mitzi Isabel Cubilla-Montilla <mitzi@usal.es>
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.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.3.0), ggplot2
Imports: ggrepel, gtable, rlang, stats, sparsepca, testthat
URL: https://github.com/mitzicubillamontilla/SparseBiplots
BugReports: https://github.com/mitzicubillamontilla/SparseBiplots/issues
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2021-10-23 22:14:44 UTC; PERSONAL
Repository: CRAN
Date/Publication: 2021-10-24 04:40:02 UTC
Built: R 4.1.3; ; 2023-04-17 19:25:56 UTC; windows
