grasps0.1.0 package

Provides a unified framework for sparse-group regularization and precision matrix estimation in Gaussian graphical models. It implements multiple sparse-group penalties, including sparse-group lasso, sparse-group adaptive lasso, sparse-group SCAD, and sparse-group MCP, and solves them efficiently using ADMM-based optimization. The package is designed for high-dimensional network inference where both sparsity and group structure are present.

Useful links

• https://github.com/Carol-seven/grasps/issues
• https://github.com/Carol-seven/grasps
• https://shiying-xiao.com/grasps/