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.
- Version3.4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release02/15/2024
Documentation
- Vignettebayesmeta introduction
- VignetteBayesian random-effects meta-analysis using the bayesmeta R package
- VignetteUsing the bayesmeta R package for Bayesian random-effects meta-regression
- Materialbayesmeta citation info
- Materialbayesmeta.pdf
- Materialbayesmeta introduction
- MaterialBayesian random-effects meta-analysis using the bayesmeta R package
- MaterialUsing the bayesmeta R package for Bayesian random-effects meta-regression
- In ViewsBayesian
- In ViewsMetaAnalysis
Team
Christian Roever
Tim Friede
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Dependencies
- Depends4 packages
- Suggests4 packages
- Reverse Depends1 package