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>
LicenseGPL-3
Version1.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("eNetXplorer")

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eNetXplorer documentation built on Sept. 20, 2019, 9:03 a.m.