Bayesian Meta-Analysis via 'Stan'

Performs Bayesian meta-analysis and model-based meta-analysis using 'Stan'. Includes binomial-normal hierarchical models and option to use weakly informative priors for the heterogeneity parameter and the treatment effect parameter which are described in Guenhan, Roever, and Friede (2020) .


Reference manual

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0.2.0 by Burak Kuersad Guenhan, a year ago

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Authors: Burak Kuersad Guenhan [aut, cre] , Trustees of Columbia University [cph] (src/init.cpp , tools/make_cpp.R , R/stanmodels.R)

Documentation:   PDF Manual  

Task views: Meta-Analysis

GPL (>= 3) license

Imports rstan, rstantools

Depends on Rcpp, methods

Suggests testthat, knitr, rmarkdown, ggplot2

Linking to StanHeaders, rstan, BH, Rcpp, RcppEigen

System requirements: GNU make

See at CRAN