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sealasso  

Standard Error Adjusted Adaptive Lasso
View on CRAN: Click here


Download and install sealasso package within the R console
Install from CRAN:
install.packages("sealasso")

Install from Github:
library("remotes")
install_github("cran/sealasso")

Install by package version:
library("remotes")
install_version("sealasso", "0.1-3")



Attach the package and use:
library("sealasso")
Maintained by
Wei Qian
[Scholar Profile | Author Map]
First Published: 2013-09-08
Latest Update: 2022-04-22
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.
How to cite:
Wei Qian (2013). sealasso: Standard Error Adjusted Adaptive Lasso. R package version 0.1-3, https://cran.r-project.org/web/packages/sealasso. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1-1 (2013-09-08 09:05), 0.1-2 (2013-12-12 02:14)
Other packages that cited sealasso R package
View sealasso citation profile
Other R packages that sealasso depends, imports, suggests or enhances
Complete documentation for sealasso
Functions, R codes and Examples using the sealasso R package
Some associated functions: sealasso . summary.sealasso . 
Some associated R codes: sealasso.R .  Full sealasso package functions and examples
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