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RAEN  

Random Approximate Elastic Net (RAEN) Variable Selection Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RAEN", "0.2")



Attach the package and use:
library("RAEN")
Maintained by
Han Sun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-18
Latest Update: 2023-01-25
Description:
The Proportional Subdistribution Hazard PSH model has been popular for estimating the effects of the covariates on the cause of interest in Competing Risks analysis. The fast accumulation of large scale datasets has posed a challenge to classical statistical methods. Current penalized variable selection methods show unsatisfactory performance in ultra-high dimensional data. We propose a novel method the Random Approximate Elastic Net RAEN with a robust and generalized solution to the variable selection problem for the PSH model. Our method shows improved sensitivity for variable selection compared with current methods.
How to cite:
Han Sun (2021). RAEN: Random Approximate Elastic Net (RAEN) Variable Selection Method. R package version 0.2, https://cran.r-project.org/web/packages/RAEN. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1 (2021-01-18 17:50), 0.2 (2021-02-21 07:00)
Other packages that cited RAEN R package
View RAEN citation profile
Other R packages that RAEN depends, imports, suggests or enhances
Functions, R codes and Examples using the RAEN R package
Full RAEN package functions and examples
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