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sealasso

Standard Error Adjusted Adaptive Lasso

Standard error adjusted adaptive lasso (SEA-lasso) is a version of the adaptive lasso, which incorporates OLS standard error to the L1 penalty weight. This method is intended for variable selection under linear regression settings (n > p). This new weight assignment strategy is especially useful when the collinearity of the design matrix is a concern.

Versions across snapshots

VersionRepositoryFileSize
0.1-3 rolling linux/jammy R-4.5 sealasso_0.1-3.tar.gz 154.2 KiB
0.1-3 rolling linux/noble R-4.5 sealasso_0.1-3.tar.gz 154.1 KiB
0.1-3 rolling source/ R- sealasso_0.1-3.tar.gz 138.0 KiB
0.1-3 latest linux/jammy R-4.5 sealasso_0.1-3.tar.gz 154.2 KiB
0.1-3 latest linux/noble R-4.5 sealasso_0.1-3.tar.gz 154.1 KiB
0.1-3 latest source/ R- sealasso_0.1-3.tar.gz 138.0 KiB
0.1-3 2026-04-26 source/ R- sealasso_0.1-3.tar.gz 138.0 KiB
0.1-3 2026-04-23 source/ R- sealasso_0.1-3.tar.gz 138.0 KiB
0.1-3 2026-04-09 windows/windows R-4.5 sealasso_0.1-3.zip 157.1 KiB
0.1-3 2025-04-20 source/ R- sealasso_0.1-3.tar.gz 138.0 KiB

Dependencies (latest)

Depends