metaGLMM: Aggregate-Data Meta-Analysis with Generalized Linear Mixed Models

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>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	bbmle, fastGHQuad, graphics, methods, qrng, Rcpp, stats, utils
LinkingTo:	Rcpp
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-12
DOI:	10.32614/CRAN.package.metaGLMM
Author:	Keisuke Hanada [aut, cre]
Maintainer:	Keisuke Hanada <keisuke.hanada.87 at gmail.com>
BugReports:	https://github.com/keisuke-hanada/metaGLMM/issues
License:	MIT + file LICENSE
URL:	https://github.com/keisuke-hanada/metaGLMM
NeedsCompilation:	yes
Language:	en-US
Citation:	metaGLMM citation info
Materials:	README, NEWS
CRAN checks:	metaGLMM results

Documentation:

Reference manual:	metaGLMM.html , metaGLMM.pdf
Vignettes:	Binary aggregate outcomes (source, R code) Custom families (source, R code) Gaussian aggregate outcomes (source, R code) Getting started with metaGLMM (source, R code) Likelihood-based inference (source, R code) Poisson rate outcomes (source, R code) Prediction and forest plots (source, R code)

Downloads:

Package source:	metaGLMM_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): metaGLMM_1.0.0.tgz, r-release (x86_64): metaGLMM_1.0.0.tgz, r-oldrel (x86_64): metaGLMM_1.0.0.tgz

Linking:

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