jarbes: 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) <doi:10.1002/bimj.201700266> and in Verde (2017) <doi:10.5772/intechopen.70231>.

Version: 1.7.2
Depends: R (≥ 3.4.0)
Imports: rjags (≥ 3.4.0), R2jags (≥ 0.04-03), stats, graphics, ggplot2, ggExtra, MASS, grid, gridExtra, mcmcplots
Published: 2019-03-11
Author: Pablo Emilio Verde [aut, cre]
Maintainer: Pablo Emilio Verde <pabloemilio.verde at hhu.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: JAGS (>= 3.4.0) (see http://mcmc-jags.sourceforge.net)
Materials: ChangeLog
In views: MetaAnalysis
CRAN checks: jarbes results


Reference manual: jarbes.pdf
Package source: jarbes_1.7.2.tar.gz
Windows binaries: r-devel: jarbes_1.7.2.zip, r-release: jarbes_1.7.2.zip, r-oldrel: jarbes_1.7.2.zip
macOS binaries: r-release: jarbes_1.7.2.tgz, r-oldrel: jarbes_1.7.2.tgz
Old sources: jarbes archive


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