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
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

Documentation:

Reference manual:	sealasso.pdf
Vignettes:	feature

Downloads:

Package source:	sealasso_0.1-3.tar.gz
Windows binaries:	r-devel: sealasso_0.1-2.zip, r-release: sealasso_0.1-2.zip, r-oldrel: sealasso_0.1-2.zip
macOS binaries:	r-release (arm64): sealasso_0.1-2.tgz, r-oldrel (arm64): sealasso_0.1-2.tgz, r-release (x86_64): sealasso_0.1-2.tgz, r-oldrel (x86_64): sealasso_0.1-2.tgz
Old sources:	sealasso archive

Linking:

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