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.
Version: 1.0.0 Depends: R (≥ 3.0.0) Imports: glmnet, palasso Suggests: knitr, testthat, rmarkdown, RColorBrewer, MASS, mvtnorm, randomForest, xgboost, MLmetrics Published: 2024-09-26 DOI: 10.32614/CRAN.package.cornet Author: Armin Rauschenberger [aut, cre] Maintainer: Armin Rauschenberger <armin.rauschenberger at uni.lu> BugReports: https://github.com/rauschenberger/cornet/issues License: GPL-3 URL: https://github.com/rauschenberger/cornet, https://rauschenberger.github.io/cornet/ NeedsCompilation: no Citation: cornet citation info Materials: README NEWS CRAN checks: cornet results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=cornet to link to this page.
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