ridgregextra
Ridge Regression Parameter Estimation
It is a package that provides alternative approach for finding optimum parameters of ridge regression. This package focuses on finding the ridge parameter value k which makes the variance inflation factors closest to 1, while keeping them above 1 as addressed by Michael Kutner, Christopher Nachtsheim, John Neter, William Li (2004, ISBN:978-0073108742). Moreover, the package offers end-to-end functionality to find optimum k value and presents the detailed ridge regression results. Finally it shows three sets of graphs consisting k versus variance inflation factors, regression coefficients and standard errors of them.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | ridgregextra_0.1.1.tar.gz |
25.5 KiB |
0.1.1 |
rolling linux/noble R-4.5 | ridgregextra_0.1.1.tar.gz |
25.4 KiB |
0.1.1 |
rolling source/ R- | ridgregextra_0.1.1.tar.gz |
5.3 KiB |
0.1.1 |
latest linux/jammy R-4.5 | ridgregextra_0.1.1.tar.gz |
25.5 KiB |
0.1.1 |
latest linux/noble R-4.5 | ridgregextra_0.1.1.tar.gz |
25.4 KiB |
0.1.1 |
latest source/ R- | ridgregextra_0.1.1.tar.gz |
5.3 KiB |
0.1.1 |
2026-04-26 source/ R- | ridgregextra_0.1.1.tar.gz |
5.3 KiB |
0.1.1 |
2026-04-23 source/ R- | ridgregextra_0.1.1.tar.gz |
5.3 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | ridgregextra_0.1.1.zip |
28.3 KiB |
0.1.1 |
2025-04-20 source/ R- | ridgregextra_0.1.1.tar.gz |
5.3 KiB |