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gren  

Adaptive Group-Regularized Logistic Elastic Net Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gren", "0.0.1")



Attach the package and use:
library("gren")
Maintained by
Magnus M. Mnch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-30
Latest Update: 2018-07-30
Description:
Allows the user to incorporate multiple sources of co-data (e.g., previously obtained p-values, published gene lists, and annotation) in the estimation of a logistic regression model to enhance predictive performance and feature selection, as described in M
How to cite:
Magnus M. Mnch (2018). gren: Adaptive Group-Regularized Logistic Elastic Net Regression. R package version 0.0.1, https://cran.r-project.org/web/packages/gren
Previous versions and publish date:
0.0.1 (2018-07-30 15:10)
Other packages that cited gren R package
View gren citation profile
Other R packages that gren depends, imports, suggests or enhances
Functions, R codes and Examples using the gren R package
Some associated functions: cv.gren . dataCervical . dataColon . denet . gren-package . gren . predict.gren . 
Some associated R codes: RcppExports.R . coef.gren.R . cv.gren.R . denet.R . fopt_groups.R . gren.R . predict.gren.R . qtau.R . renet.R . rtau.R .  Full gren package functions and examples
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