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cornet  

Penalised Regression for Dichotomised Outcomes
View on CRAN: Click here


Download and install cornet package within the R console
Install from CRAN:
install.packages("cornet")

Install from Github:
library("remotes")
install_github("cran/cornet")

Install by package version:
library("remotes")
install_version("cornet", "1.0.0")



Attach the package and use:
library("cornet")
Maintained by
Armin Rauschenberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-21
Latest Update: 2024-09-26
Description:
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.
How to cite:
Armin Rauschenberger (2019). cornet: Penalised Regression for Dichotomised Outcomes. R package version 1.0.0, https://cran.r-project.org/web/packages/cornet. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:28), 0.0.1 (2019-03-21 18:14), 0.0.2 (2019-09-26 11:10), 0.0.3 (2019-11-13 14:30), 0.0.4 (2020-03-18 09:30), 0.0.5 (2021-04-19 10:40), 0.0.6 (2022-08-17 14:50), 0.0.7 (2023-02-16 13:20), 0.0.8 (2023-06-03 10:50), 0.0.9 (2023-08-11 23:43)
Other packages that cited cornet R package
View cornet citation profile
Other R packages that cornet depends, imports, suggests or enhances
Complete documentation for cornet
Functions, R codes and Examples using the cornet R package
Some associated functions: coef.cornet . cornet . cv.cornet . dot-check . dot-equal . dot-simulate . dot-test . plot.cornet . predict.cornet . print.cornet . 
Some associated R codes: functions.R .  Full cornet package functions and examples
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