The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| Reference manual: | sealasso.pdf |
| Vignettes: |
feature |
| Package source: | sealasso_0.1-3.tar.gz |
| Windows binaries: | r-devel: sealasso_0.1-3.zip, r-release: sealasso_0.1-3.zip, r-oldrel: sealasso_0.1-3.zip |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=sealasso to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.