juliancandia/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>.
Getting started
Browse package contents
Package details |
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| Author | Julian Candia and John S. Tsang |
| Maintainer | Julian Candia <julian.candia@nih.gov> |
| License | GPL-3 |
| Version | 1.1.3 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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