swMATH ID: 42225
Software Authors: Magnus M. Münch
Description: R package gren: Adaptive Group-Regularized Logistic Elastic Net Regression. 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 Münch, Peeters, van der Vaart, and van de Wiel (2018) <arXiv:1805.00389>.
Homepage: https://cran.r-project.org/web/packages/gren/index.html
Source Code:  https://github.com/cran/gren
Dependencies: R
Related Software: CoRF; glmnet; scam; mgcv; fwelnet; graper; GRridge; gglasso; grplasso; ggplot2; ggpubr; squeezy; R; ecpc
Cited in: 0 Publications