Package: cornet
Version: 1.0.0
Title: Penalised Regression for Dichotomised Outcomes
Description: Implements lasso and ridge regression for dichotomised
        outcomes (<doi:10.1080/02664763.2023.2233057>), i.e., numerical
        outcomes that were transformed to binary outcomes. Such
        artificial binary outcomes indicate whether an underlying
        measurement is greater than a threshold.
Depends: R (>= 3.0.0)
Imports: glmnet, palasso
Suggests: knitr, testthat, rmarkdown, RColorBrewer, MASS, mvtnorm,
        randomForest, xgboost, MLmetrics
Authors@R: person(given="Armin",family="Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"),comment=c(ORCID="0000-0001-6498-4801"))
License: GPL-3
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.3.2
URL: https://github.com/rauschenberger/cornet,
        https://rauschenberger.github.io/cornet/
BugReports: https://github.com/rauschenberger/cornet/issues
Repository: https://rauschenberger.r-universe.dev
Date/Publication: 2024-09-26 12:31:16 UTC
RemoteUrl: https://github.com/rauschenberger/cornet
RemoteRef: HEAD
RemoteSha: cd95458f51edf37af744450b1ffb5ed5a6232d34
NeedsCompilation: no
Packaged: 2026-10-12 09:45:13 UTC; root
Author: Armin Rauschenberger [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-6498-4801>)
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>