eNetXplorer (1.1.0)

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 .

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

License: GPL-3

Uses: calibrate, expm, glmnet, gplots, Matrix, progress, RColorBrewer, survcomp, survival, survivalROC, knitr, rmarkdown

Released 5 months ago.