Changes in version 1.0.0 (2026-10-24)                  

Initial release

  - Implements adaptive graphical lasso estimation for sparse
    precision-matrix and network estimation.
  - Supports automatic selection of the regularization parameter by
    cross-validation using CVglasso.
  - Supports user-supplied fixed values of lambda.
  - Uses ridge stabilization of the sample covariance matrix.
  - Constructs adaptive edge-specific weights and penalty matrices from
    an initial graphical lasso estimate.
  - Provides fitted precision, covariance, adjacency, adaptive-weight,
    and adaptive-penalty matrices.
  - Includes methods for printing fitted objects and extracting fitted
    matrices with coef().
  - Supports settings with (n < p), (n = p), and (n > p).
  - Includes automated unit tests and documentation for CRAN release.