SparseBiplots
'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'
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'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
4.1.1 |
rolling linux/jammy R-4.5 | SparseBiplots_4.1.1.tar.gz |
47.7 KiB |
4.1.1 |
rolling linux/noble R-4.5 | SparseBiplots_4.1.1.tar.gz |
47.7 KiB |
4.1.1 |
rolling source/ R- | SparseBiplots_4.1.1.tar.gz |
11.6 KiB |
4.1.1 |
latest linux/jammy R-4.5 | SparseBiplots_4.1.1.tar.gz |
47.7 KiB |
4.1.1 |
latest linux/noble R-4.5 | SparseBiplots_4.1.1.tar.gz |
47.7 KiB |
4.1.1 |
latest source/ R- | SparseBiplots_4.1.1.tar.gz |
11.6 KiB |
4.1.1 |
2026-04-26 source/ R- | SparseBiplots_4.1.1.tar.gz |
11.6 KiB |
4.1.1 |
2026-04-23 source/ R- | SparseBiplots_4.1.1.tar.gz |
11.6 KiB |
4.1.1 |
2026-04-09 windows/windows R-4.5 | SparseBiplots_4.1.1.zip |
50.8 KiB |
4.0.1 |
2025-04-20 source/ R- | SparseBiplots_4.0.1.tar.gz |
10.4 KiB |