Description
Elastic Net with Dichotomised Outcomes.
Description
Implements lasso and ridge regression for dichotomised outcomes (Rauschenberger et al. 2023, <doi:10.1080/02664763.2023.2233057>). Such outcomes are not naturally but artificially binary. They indicate whether an underlying measurement is greater than a threshold.
README.md
Scope
Lasso and ridge regression for dichotomised outcomes (extending glmnet).
Installation
Install the current release from CRAN:
install.packages("cornet")
or the latest development version from GitHub:
#install.packages("devtools")
devtools::install_github("rauschenberger/cornet")
Reference
Armin Rauschenberger and Enrico Glaab (2023). “Predicting artificial binary outcomes from high-dimensional data in biomedicine”. Journal or Applied Statistics. In press. doi: 10.1080/02664763.2023.2233057