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.">

cornet: Penalised Regression for Dichotomised Outcomes (original) (raw)

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 RauschenbergerORCID iD [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

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