Package: cornet 1.0.0

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.

Authors:Armin Rauschenberger [aut, cre]

cornet_1.0.0.tar.gz
cornet_1.0.0.zip(r-4.7)cornet_1.0.0.zip(r-4.6)cornet_1.0.0.zip(r-4.5)
cornet_1.0.0.tgz(r-4.6-any)cornet_1.0.0.tgz(r-4.5-any)
cornet_1.0.0.tar.gz(r-4.7-any)cornet_1.0.0.tar.gz(r-4.6-any)
cornet_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
cornet/json (API)
NEWS

# Install 'cornet' in R:
install.packages('cornet', repos = c('https://rauschenberger.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rauschenberger/cornet/issues

Pkgdown/docs site:https://rauschenberger.github.io

On CRAN:

Conda:

5.67 score 2 stars 3 packages 13 scripts 360 downloads 2 exports 11 dependencies

Last updated from:cd95458f51. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK137
source / vignettesOK164
linux-release-x86_64OK162
macos-release-arm64OK110
macos-oldrel-arm64OK117
windows-develOK106
windows-releaseOK92
windows-oldrelOK91
wasm-releaseOK133

Exports:cornetcv.cornet

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixpalassoRcppRcppEigenshapesurvival

reproducibility - application

Rendered fromapplication.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2023-06-02
Started: 2019-09-13

Article

Rendered fromarticle.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2024-09-26
Started: 2019-03-18

reproducibility - simulation

Rendered fromsimulation.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2023-06-01
Started: 2019-09-13

Combined Regression

Rendered fromvignette.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2024-09-26
Started: 2018-06-14