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) and multinomial models. Candia J and Tsang JS (2018), bioRxiv 305870 (under review).

Package details

AuthorJulian Candia and John S. Tsang
MaintainerJulian Candia <[email protected]>
Package repositoryView on CRAN
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eNetXplorer documentation built on June 11, 2018, 1:06 a.m.