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SparseBiplots

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

v4.1.1 · Jul 10, 2025 · GPL (>= 3)

Description

The 'HJ-Biplot' is a multivariate method that represents high-dimensional data in a low-dimensional subspace, capturing most of the information’s variability in just a few dimensions. This package implements three new regularized versions of the HJ-Biplot: Ridge, LASSO, and Elastic Net. These versions introduce restrictions that shrink or zero-out variable weights to improve interpretability based on regularization theory. All methods provide graphical representations using 'ggplot2'.

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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies ggplot2 ggrepel sparsepca SparseBiplots

Version History

new 4.1.1 Mar 10, 2026
updated 4.1.1 ← 4.0.2 diff Jul 10, 2025
updated 4.0.2 ← 4.0.1 diff May 25, 2025
updated 4.0.1 ← 4.0.0 diff Oct 23, 2021
updated 4.0.0 ← 3.5.0 diff Jun 27, 2020
new 3.5.0 Jul 1, 2019