Package: eNetXplorer
Type: Package
Title: Quantitative Exploration of Elastic Net Families for Generalized
        Linear Models
Version: 1.1.1
Date: 2020-06-14
Author: Julian Candia and John S. Tsang
Maintainer: Julian Candia <julian.candia@nih.gov>
Depends: R (>= 2.10)
biocViews:
Imports: glmnet, stats, graphics, methods, grDevices, Matrix, progress,
        survival, survcomp, survivalROC, calibrate, RColorBrewer,
        gplots, expm
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Description: 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 <doi:10.1186/s12859-019-2778-5>.
License: GPL-3
LazyData: true
LazyLoad: yes
NeedsCompilation: no
Packaged: 2020-06-14 15:58:44 UTC; candiajm
Repository: CRAN
Date/Publication: 2020-06-14 19:00:03 UTC
Built: R 4.1.0; ; 2020-08-03 10:42:11 UTC; windows
