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:

Reference manual: sealasso.pdf
Vignettes: feature
Package source: sealasso_0.1-2.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
OS X El Capitan binaries: r-release: sealasso_0.1-2.tgz
OS X Mavericks binaries: r-oldrel: sealasso_0.1-2.tgz
Old sources: sealasso archive

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