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.
||bayesmeta, R (≥ 3.5.0)
||Manuela Ott [aut, cre],
Malgorzata Roos [aut]
||Manuela Ott <manuela.c.ott at gmail.com>
||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
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