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>.
| Version: | 1.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | glmnet, stats, graphics, methods, grDevices, Matrix, progress, survival, survcomp, survivalROC, calibrate, RColorBrewer, gplots, expm |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-06-14 |
| 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 |
| Vignettes: |
eNetXplorer Vignette |
| Package source: | eNetXplorer_1.1.1.tar.gz |
| Windows binaries: | r-devel: eNetXplorer_1.1.1.zip, r-release: eNetXplorer_1.1.1.zip, r-oldrel: eNetXplorer_1.1.1.zip |
| macOS binaries: | r-release: eNetXplorer_1.1.1.tgz, r-oldrel: eNetXplorer_1.1.1.tgz |
| Old sources: | eNetXplorer archive |
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