eNetXplorer: Quantitative Exploration of Elastic Net Families for Generalized Linear Models

Provides a quantitative toolkit to explore elastic net families and to uncover correlates contributing to prediction under a cross-validation framework. Fits linear, binomial (logistic), multinomial and Cox regression models. Candia J and Tsang JS, BMC Bioinformatics (2019) 20:189 <doi:10.1186/s12859-019-2778-5>.

Package details

AuthorJulian Candia and John S. Tsang
MaintainerJulian Candia <julian.candia@nih.gov>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the eNetXplorer package in your browser

Any scripts or data that you put into this service are public.

eNetXplorer documentation built on Aug. 30, 2020, 1:06 a.m.