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: 0.1-3
Depends: R (≥ 2.9.1), lars
Published: 2022-04-22
DOI: 10.32614/CRAN.package.sealasso
Author: Wei Qian
Maintainer: Wei Qian <weiqian at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: sealasso results


Reference manual: sealasso.pdf
Vignettes: feature


Package source: sealasso_0.1-3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): sealasso_0.1-3.tgz, r-oldrel (arm64): sealasso_0.1-3.tgz, r-release (x86_64): sealasso_0.1-3.tgz, r-oldrel (x86_64): sealasso_0.1-3.tgz
Old sources: sealasso archive


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