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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>.
Version: | 3.4 |
Depends: | forestplot (≥ 2.0.0), metafor (≥ 2.0-0), mvtnorm (≥ 1.1-1), numDeriv (≥ 2016.8-1.1) |
Suggests: | compute.es, knitr, rmarkdown, R.rsp |
Published: | 2024-02-15 |
DOI: | 10.32614/CRAN.package.bayesmeta |
Author: | Christian Roever |
Maintainer: | Christian Roever <christian.roever at med.uni-goettingen.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://gitlab.gwdg.de/croever/bayesmeta |
NeedsCompilation: | no |
Citation: | bayesmeta citation info |
In views: | Bayesian, MetaAnalysis |
CRAN checks: | bayesmeta results |
Package source: | bayesmeta_3.4.tar.gz |
Windows binaries: | r-devel: bayesmeta_3.4.zip, r-release: bayesmeta_3.4.zip, r-oldrel: bayesmeta_3.4.zip |
macOS binaries: | r-release (arm64): bayesmeta_3.4.tgz, r-oldrel (arm64): bayesmeta_3.4.tgz, r-release (x86_64): bayesmeta_3.4.tgz, r-oldrel (x86_64): bayesmeta_3.4.tgz |
Old sources: | bayesmeta archive |
Reverse depends: | ra4bayesmeta |
Reverse suggests: | mrbayes |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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