Changes in version 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.

                 Changes in version 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).