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: 2026-10-05 09:04:36 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-04-22 17:30:02 UTC
RemoteUrl: https://github.com/cran/sealasso
RemoteRef: HEAD
RemoteSha: 9358fcccf90b17fc3ca81ac7384c352e3c08f7f0