About Anaconda Help Download Anaconda

r / packages / r-sealasso

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.

Click on a badge to see how to embed it in your web page
badge
https://anaconda.org/r/r-sealasso/badges/version.svg
badge
https://anaconda.org/r/r-sealasso/badges/latest_release_date.svg
badge
https://anaconda.org/r/r-sealasso/badges/latest_release_relative_date.svg
badge
https://anaconda.org/r/r-sealasso/badges/platforms.svg
badge
https://anaconda.org/r/r-sealasso/badges/license.svg
badge
https://anaconda.org/r/r-sealasso/badges/downloads.svg

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.5) Legal | Privacy Policy