Efficient Solvers for SLOPE in R, Python, Julia, and C++
This work introduces efficient software packages in R, Python, Julia, and C++ to solve the Sorted L-One Penalized Estimation (SLOPE) problem. It uses a hybrid algorithm combining proximal gradient descent and coordinate descent for fast convergence across various generalized linear models.