gren: Adaptive Group-Regularized Logistic Elastic Net Regression

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

Downloads:

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-devel-gcc8: gren_0.0.1.zip, r-release: gren_0.0.1.zip, r-oldrel: gren_0.0.1.zip
OS X binaries: r-release: gren_0.0.1.tgz, r-oldrel: gren_0.0.1.tgz

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