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 .


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install.packages("eNetXplorer")

1.1.0 by Julian Candia, 3 months ago


Browse source code at https://github.com/cran/eNetXplorer


Authors: Julian Candia and John S. Tsang


Documentation:   PDF Manual  


GPL-3 license


Imports glmnet, stats, graphics, methods, grDevices, Matrix, progress, survival, survcomp, survivalROC, calibrate, RColorBrewer, gplots, expm

Suggests knitr, rmarkdown


See at CRAN