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 (arm64): gren_0.0.1.tgz, r-oldrel (arm64): gren_0.0.1.tgz, r-release (x86_64): gren_0.0.1.tgz, r-oldrel (x86_64): gren_0.0.1.tgz |
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