# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "cornet" in publications use:' type: software license: GPL-3.0-only title: 'cornet: Elastic Net with Dichotomised Outcomes' version: 0.0.9 doi: 10.32614/CRAN.package.cornet abstract: Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2023, ). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold. authors: - family-names: Rauschenberger given-names: Armin email: armin.rauschenberger@uni.lu repository: https://rauschenberger.r-universe.dev repository-code: https://github.com/rauschenberger/cornet commit: 3668089f9c2d35b9ee52c74779928be70152a410 url: https://github.com/rauschenberger/cornet contact: - family-names: Rauschenberger given-names: Armin email: armin.rauschenberger@uni.lu