Allows the user to incorporate multiple sources of co-data (e.g., previously obtained p-values, published gene lists, and annotation) in the estimation of a logistic regression model to enhance predictive performance and feature selection, as described in Münch, Peeters, van der Vaart, and van de Wiel (2018) <arXiv:1805.00389>.
| Version: | 0.0.1 |
| Imports: | Rcpp (≥ 0.12.14), glmnet, Iso, pROC |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-07-30 |
| Author: | Magnus M. Münch |
| Maintainer: | Magnus M. Münch <m.munch at vumc.nl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/magnusmunch/gren/ |
| NeedsCompilation: | yes |
| Citation: | gren citation info |
| Materials: | README NEWS |
| CRAN checks: | gren results |
| Reference manual: | gren.pdf |
| Vignettes: |
gren: Adaptive Group-Regularized Logistic Elastic Net Regression |
| Package source: | gren_0.0.1.tar.gz |
| Windows binaries: | r-devel: gren_0.0.1.zip, r-release: gren_0.0.1.zip, r-oldrel: gren_0.0.1.zip |
| macOS binaries: | r-release: gren_0.0.1.tgz, r-oldrel: gren_0.0.1.tgz |
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