Just a Rather Bayesian Evidence Synthesis

Provides a new class of Bayesian meta-analysis models that we called "The Hierarchical Meta-Regression" (HMR). The aim of HMR is to incorporate into the meta-analysis, the data collection process, which results in a model for the internal and external validity bias. In this way, it is possible to combine studies of different types. For example, we can combine the results of randomized control trials (RCTs) with the results of observational studies (OS). The statistical methods and their applications are described in Verde (2019) and in Verde (2017) .


Reference manual

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1.7.2 by Pablo Emilio Verde, a year ago

Browse source code at https://github.com/cran/jarbes

Authors: Pablo Emilio Verde [aut, cre]

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL (>= 2) license

Imports rjags, R2jags, stats, graphics, ggplot2, ggExtra, MASS, grid, gridExtra, mcmcplots

System requirements: JAGS (>= 3.4.0) (see http://mcmc-jags.sourceforge.net)

See at CRAN