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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).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.