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.
| Version: |
0.1-2 |
| Depends: |
R (≥ 2.9.1), lars |
| Published: |
2013-12-12 |
| Author: |
Wei Qian |
| Maintainer: |
Wei Qian <weiqian at stat.umn.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
ChangeLog |
| CRAN checks: |
sealasso results |
Downloads: