Package: cornet
Version: 0.0.3
Title: Elastic Net with Dichotomised Outcomes
Description: Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2019). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.
Depends: R (>= 3.0.0)
Imports: glmnet, palasso
Suggests: knitr, testthat
Enhances: RColorBrewer, MASS, mvtnorm
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
Language: en-GB
RoxygenNote: 6.1.1
URL: https://github.com/rauschenberger/cornet
BugReports: https://github.com/rauschenberger/cornet/issues
NeedsCompilation: no
Packaged: 2019-11-13 10:17:52 UTC; armin.rauschenberger
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>
Repository: CRAN
Date/Publication: 2019-11-13 13:30:02 UTC
