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ensr  

Elastic Net SearcheR
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ensr", "0.1.0")



Attach the package and use:
library("ensr")
Maintained by
Peter DeWitt
[Scholar Profile | Author Map]
First Published: 2019-01-21
Latest Update: 2019-01-21
Description:
Elastic net regression models are controlled by two parameters, lambda, a measure of shrinkage, and alpha, a metric defining the model's location on the spectrum between ridge and lasso regression. glmnet provides tools for selecting lambda via cross validation but no automated methods for selection of alpha. Elastic Net SearcheR automates the simultaneous selection of both lambda and alpha. Developed, in part, with support by NICHD R03 HD094912.
How to cite:
Peter DeWitt (2019). ensr: Elastic Net SearcheR. R package version 0.1.0, https://cran.r-project.org/web/packages/ensr. Accessed 06 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited ensr R package
View ensr citation profile
Other R packages that ensr depends, imports, suggests or enhances
Complete documentation for ensr
Functions, R codes and Examples using the ensr R package
Some associated functions: ensr . lambda_alpha_grid . lambda_max . landfill . predict . preferable . standardize . tbi . 
Some associated R codes: ensr-pkg.R . ensr.R . lambda_max.R . landfill.R . standardize.R . tbi.R .  Full ensr package functions and examples
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