Package: gren
Type: Package
Title: Adaptive Group-Regularized Logistic Elastic Net Regression
Version: 0.0.1
Date: 2018-07-19
Author: Magnus M. Münch
Maintainer: Magnus M. Münch <m.munch@vumc.nl>
Description: 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>.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.14), glmnet, Iso, pROC
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
VignetteBuilder: knitr
URL: https://github.com/magnusmunch/gren/
Suggests: knitr, rmarkdown
Encoding: UTF-8
RoxygenNote: 6.0.1
LazyData: true
Packaged: 2018-07-28 16:45:07 UTC; magnusmunch
Repository: CRAN
Date/Publication: 2018-07-30 13:10:03 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 10:45:13 UTC; windows
Archs: i386, x64
