eNetXplorer (1.0.1)

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).

Maintainer: Julian Candia
Author(s): Julian Candia and John S. Tsang

License: GPL-3

Uses: calibrate, glmnet, gplots, Matrix, progress, RColorBrewer

Released over 1 year ago.