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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | metaGLMM_1.0.0.tar.gz |
341.0 KiB |
1.0.0 |
rolling linux/noble R-4.5 | metaGLMM_1.0.0.tar.gz |
342.3 KiB |
1.0.0 |
rolling source/ R- | metaGLMM_1.0.0.tar.gz |
166.7 KiB |
1.0.0 |
latest linux/jammy R-4.5 | metaGLMM_1.0.0.tar.gz |
341.0 KiB |
1.0.0 |
latest linux/noble R-4.5 | metaGLMM_1.0.0.tar.gz |
342.3 KiB |
1.0.0 |
latest source/ R- | metaGLMM_1.0.0.tar.gz |
166.7 KiB |
1.0.0 |
2026-04-23 source/ R- | metaGLMM_1.0.0.tar.gz |
0 B |