Package: sealasso
Version: 0.1-3
Date: 2022-04-22
Title: Standard Error Adjusted Adaptive Lasso
Author: Wei Qian <weiqian@stat.umn.edu>
Maintainer: Wei Qian <weiqian@stat.umn.edu>
Depends: R (>= 2.9.1), lars
Description: 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. 
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-04-22 16:35:51 UTC; weiqian
Repository: CRAN
Date/Publication: 2022-04-22 18:30:02 UTC
Built: R 4.6.0; ; 2026-04-27 02:58:05 UTC; unix
