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cornet: Penalised Regression for Dichotomised Outcomes

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

Documentation:

Reference manual:cornet.html ,cornet.pdf
Vignettes:application (source,R code)
article (source)
simulation (source,R code)
vignette (source,R code)

Downloads:

Package source: cornet_1.0.0.tar.gz
Windows binaries: r-devel:cornet_1.0.0.zip, r-release:cornet_1.0.0.zip, r-oldrel:cornet_1.0.0.zip
macOS binaries: r-release (arm64):cornet_1.0.0.tgz, r-oldrel (arm64):cornet_1.0.0.tgz, r-release (x86_64):cornet_1.0.0.tgz, r-oldrel (x86_64):cornet_1.0.0.tgz
Old sources: cornet archive

Reverse dependencies:

Reverse imports:joinet,starnet

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=cornetto link to this page.


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