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 (may not be active yet) |
| 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 |
| 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) |
| 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): not available |
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