dfr R package

Implementation of the Dual Feature Reduction (DFR) approach, which allows for efficient fitting of (adaptive) sparse-group lasso models using screening rules (Feser and Evangelou (2024)). Linear and logistic regression models are supported, both of which can be fit using k-fold cross-validation. Dense and sparse input matrices are supported.

The package code can be found on GitHub.