NEWS

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grasps 0.1.1 (2026-05-02)

• Added function plot.adjmat().
• Added function prec_to_adj().
• Use d instead of p to denote the dimension.
• Revised the estimator expression in the vignette.
• Added NEWS file to record the changelog.

grasps 0.1.0 (2025-11-27)

• 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).