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 (2018) .


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Reference manual

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install.packages("MetaStan")

0.1.0 by Burak Kuersad Guenhan, 10 days ago


http://github.com/gunhanb/MetaStan


Report a bug at http://github.com/gunhanb/MetaStan/issues


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


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