The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Functionality for performing a principled reference analysis in the Bayesian normal-normal hierarchical model used for Bayesian meta-analysis, as described in Ott, Plummer and Roos (2021) <doi:10.1002/sim.9076>. Computes a reference posterior, induced by a minimally informative improper reference prior for the between-study (heterogeneity) standard deviation. Determines additional proper anti-conservative (and conservative) prior benchmarks. Includes functions for reference analyses at both the posterior and the prior level, which, given the data, quantify the informativeness of a heterogeneity prior of interest relative to the minimally informative reference prior and the proper prior benchmarks. The functions operate on data sets which are compatible with the 'bayesmeta' package.
| Version: | 1.0-8 |
| Depends: | bayesmeta, R (≥ 3.5.0) |
| Published: | 2023-10-06 |
| DOI: | 10.32614/CRAN.package.ra4bayesmeta |
| Author: | Manuela Ott [aut, cre], Malgorzata Roos [aut] |
| Maintainer: | Manuela Ott <manuela.c.ott at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | MetaAnalysis |
| CRAN checks: | ra4bayesmeta results |
| Reference manual: | ra4bayesmeta.pdf |
| Package source: | ra4bayesmeta_1.0-8.tar.gz |
| Windows binaries: | r-devel: ra4bayesmeta_1.0-8.zip, r-release: ra4bayesmeta_1.0-8.zip, r-oldrel: ra4bayesmeta_1.0-8.zip |
| macOS binaries: | r-release (arm64): ra4bayesmeta_1.0-8.tgz, r-oldrel (arm64): ra4bayesmeta_1.0-8.tgz, r-release (x86_64): ra4bayesmeta_1.0-8.tgz, r-oldrel (x86_64): ra4bayesmeta_1.0-8.tgz |
| Old sources: | ra4bayesmeta archive |
Please use the canonical form https://CRAN.R-project.org/package=ra4bayesmeta to link to this page.
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.