Changes in version 1.0.0 (2026-09-12)                  

Initial CRAN release

  - Provides likelihood-based meta-analysis through generalized linear
    mixed-effects models using aggregate data.
  - Supports covariate adjustment and non-normal response families, with
    computationally efficient likelihood evaluation.
  - Includes likelihood-based confidence intervals and the fast and
    quasi-Monte Carlo integration methods described by Hanada and
    Sugimoto (2026).
  - Draws selected Wald, profile, SBC, and plug-in prediction intervals
    as forest-plot diamonds, adds numeric annotations, and automatically
    reserves space for long labels and headers.
  - Lets forest(fit) automatically use safe study-level data and a
    uniquely identified treatment coefficient, with SBC as the default
    when available.
  - Expands the binary, Poisson, and Gaussian vignettes through
    forest-plot workflows and replaces the custom Gaussian vignette
    example with an overdispersed negative-binomial rate model.
  - Supports profile and simple Bartlett-corrected confidence intervals
    for custom families when heterogeneity is estimated and an
    appropriate study-level sampling variance is supplied through vi.