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 .


Reference manual

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1.1.1 by Julian Candia, 24 days 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