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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.
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.