Package: cornet
Version: 0.0.9
Title: Elastic Net with Dichotomised Outcomes
Description: Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2023, <doi:10.1080/02664763.2023.2233057>). 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, rmarkdown
Enhances: RColorBrewer, MASS, mvtnorm, randomForest, xgboost, MLmetrics
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.2.3
URL: https://github.com/rauschenberger/cornet
BugReports: https://github.com/rauschenberger/cornet/issues
NeedsCompilation: no
Packaged: 2023-08-11 20:00:48 UTC; armin.rauschenberger
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>
Repository: CRAN
Date/Publication: 2023-08-11 21:43:48 UTC
Built: R 4.2.0; ; 2023-08-11 22:26:25 UTC; unix
