Aggregate-Data Meta-Analysis with Generalized Linear Mixed Models R package metaGLMM version 1.0.0 Extends traditional random-effects meta-analysis by embedding it within a generalized linear mixed-effects model framework. The package supports covariate adjustment and non-normal responses using aggregate data, and provides likelihood-based inference with computationally efficient likelihood evaluation. The underlying methodology is described in Hanada and Sugimoto (2026) <doi:10.1093/biomtc/ujag148>. Software Depends: R (>= 3.5.0) Imports: bbmle, fastGHQuad, graphics, methods, qrng, Rcpp, stats, utils LinkingTo: Rcpp Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Keisuke Hanada <keisuke.hanada.87@gmail.com> Comprehensive R Archive Network (CRAN) Keisuke Hanada [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=metaGLMM/LICENSE) 2026-09-12 application/tgz https://CRAN.R-project.org/package=metaGLMM doi:10.32614/CRAN.package.metaGLMM en-US