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>.

Package details

AuthorMagnus M. Münch
MaintainerMagnus M. Münch <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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gren documentation built on July 30, 2018, 5:01 p.m.