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sealasso (version 0.1-3)

Standard Error Adjusted Adaptive Lasso

Description

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.

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Version

Install

install.packages('sealasso')

Monthly Downloads

216

Version

0.1-3

License

GPL (>= 2)

Maintainer

Last Published

April 22nd, 2022

Functions in sealasso (0.1-3)

sealasso

Standard Error Adjusted Adaptive Lasso
summary.sealasso

Summary method for sealasso objects