ra4bayesmeta: Reference Analysis for Bayesian Meta-Analysis

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, "How vague is vague? How informative is informative? Reference analysis for Bayesian meta-analysis", under minor revision for Statistics in Medicine). 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: 1.0-7
Depends: bayesmeta, R (≥ 3.5.0)
Published: 2021-04-23
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
CRAN checks: ra4bayesmeta results


Reference manual: ra4bayesmeta.pdf
Package source: ra4bayesmeta_1.0-7.tar.gz
Windows binaries: r-devel: ra4bayesmeta_1.0-7.zip, r-release: ra4bayesmeta_1.0-7.zip, r-oldrel: ra4bayesmeta_1.0-7.zip
macOS binaries: r-release (arm64): ra4bayesmeta_1.0-7.tgz, r-release (x86_64): ra4bayesmeta_1.0-7.tgz, r-oldrel: ra4bayesmeta_1.0-7.tgz


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