# grasps 0.1.0

+ Initial release of the grasps package.
+ The grasps is a toolbox for precision matrix estimation with group structure.
+ Key features:
  - Unified regularization framework for sparse network learning.
  - Supports element-wise sparsity and group-wise shrinkage.
  - Includes both convex and non-convex penalties (e.g., adaptive lasso, SCAD, MCP).
  - Provides model selection tools (e.g., CV, EBIC, HBIC).
+ Designed for applications where variables exhibit grouped or modular relationships (e.g., brain networks, biological pathways).
