bayesmeta
Bayesian Random-Effects Meta-Analysis and Meta-Regression
A collection of functions allowing to derive the posterior distribution of the model parameters in random-effects meta-analysis or meta-regression, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, posterior predictive p-values, etc.; For more details, see also Roever C (2020) <doi:10.18637/jss.v093.i06>, or Roever C and Friede T (2022) <doi:10.1016/j.cmpb.2022.107303>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.5 |
rolling linux/jammy R-4.5 | bayesmeta_3.5.tar.gz |
4.1 MiB |
3.5 |
rolling linux/noble R-4.5 | bayesmeta_3.5.tar.gz |
4.1 MiB |
3.5 |
rolling source/ R- | bayesmeta_3.5.tar.gz |
3.6 MiB |
3.5 |
latest linux/jammy R-4.5 | bayesmeta_3.5.tar.gz |
4.1 MiB |
3.5 |
latest linux/noble R-4.5 | bayesmeta_3.5.tar.gz |
4.1 MiB |
3.5 |
latest source/ R- | bayesmeta_3.5.tar.gz |
3.6 MiB |
3.5 |
2026-04-26 source/ R- | bayesmeta_3.5.tar.gz |
3.6 MiB |
3.5 |
2026-04-23 source/ R- | bayesmeta_3.5.tar.gz |
3.6 MiB |
3.5 |
2026-04-09 windows/windows R-4.5 | bayesmeta_3.5.zip |
4.1 MiB |
3.4 |
2025-04-20 source/ R- | bayesmeta_3.4.tar.gz |
3.5 MiB |
Dependencies (latest)
Depends
- forestplot (>= 2.0.0)
- metafor (>= 2.0-0)
- mvtnorm (>= 1.1-1)
- numDeriv (>= 2016.8-1.1)