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) and multinomial models. Candia J and Tsang JS (2018), bioRxiv 305870 (under review).

Version: 1.0.1
Depends: R (≥ 2.10)
Imports: glmnet, stats, graphics, methods, grDevices, Matrix, progress, calibrate, RColorBrewer, gplots
Published: 2018-06-10
Author: Julian Candia and John S. Tsang
Maintainer: Julian Candia <julian.candia at nih.gov>
License: GPL-3
NeedsCompilation: no
Citation: eNetXplorer citation info
Materials: ChangeLog
CRAN checks: eNetXplorer results


Reference manual: eNetXplorer.pdf
Package source: eNetXplorer_1.0.1.tar.gz
Windows binaries: r-devel: eNetXplorer_1.0.1.zip, r-release: eNetXplorer_1.0.1.zip, r-oldrel: eNetXplorer_1.0.1.zip
OS X binaries: r-release: eNetXplorer_1.0.1.tgz, r-oldrel: eNetXplorer_1.0.1.tgz
Old sources: eNetXplorer archive


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